All articles tagged: Health informatics

A recent study published in the Journal of Medical Internet Research introduced the EDAI framework, a comprehensive guideline designed to embed equity, diversity, and inclusion (EDI) principles throughout the artificial intelligence (AI) lifecycle.

A study investigating the impact of artificial intelligence on health care has shown that using large language models to process thousands of patient records daily across multiple hospitals could lead to substantial resource consumption.

The pulse oximeter, a device that measures the degree to which red blood cells are saturated with oxygen, is one of health care's most fundamental tools.

South Korean researchers have developed a new technology that can recognize and detect lung diseases such as Chronic Obstructive Pulmonary Disease (COPD), lung fibrosis, asthma, etc., by utilizing multi-sensory sensing information on breathing.

Don't automatically throw out that old COVID-19 at-home test you just came across in your medicine cabinet.

Health data, distributed across various applications, could be unified in a digital medical twin: This is how doctors could improve patient care with the future mobile communication standard 6G.

A study by researchers from CUNY SPH and the University of Utah highlights how occupations are valued differently in society, with some less likely to offer decent wages, benefits, or protections, and the preventable health inequities that result from these labor market hierarchies.

For patients with a history of overt hepatic encephalopathy (OHE), rifaximin monotherapy (MT) results in significantly fewer OHE episodes than lactulose (LAC) MT, according to a study presented at the annual meeting of the American College of Gastroenterology, held from Oct. 25 to 30 in Philadelphia.

A collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia has studied how well doctors use GPT-4—an artificial intelligence (AI) large language model system—for diagnosing patients.

In recent years, smartwatches and smart rings have grown increasingly popular, adorning the wrists and fingers of consumers who use them to monitor their exercise, sleep and heart activity.

In a new pilot study, the researchers have now presented and tested an approach that overcomes the technical and legal challenges in the demanding context of clinical research on cancer patients while complying with strict European regulations on the protection of patient privacy and data protection.

Recent advancements in high-throughput sequencing technologies have enabled researchers to harness valuable omics data, paving the way for precision medicine. This approach aims to enhance diagnosis and treatment by tailoring therapies to individual patients, moving away from traditional, subjective methods. However, analyzing omics data for effective treatment personalization remains challenging

A pilot study led by researchers at University of California San Diego School of Medicine found that advanced artificial intelligence (AI) could potentially lead to easier, faster and more efficient hospital quality reporting while retaining high accuracy, which could lead to enhanced health care delivery.

Edge computing on a smartphone has been used to analyze data collected by a multimodal flexible wearable sensor patch and detect arrhythmia, coughs and falls.

Cancer is a leading cause of death among Hispanic people in the U.S., according to the American Cancer Society. Compared to non-Hispanic white people, Hispanic men and women are less likely to be diagnosed with common cancers such as lung, colorectal, breast and prostate cancer, and they are more likely to develop cancers in the liver, stomach and cervix, often linked to infections like HPV.

The use of artificial intelligence (AI) in hospitals and patient care is steadily increasing. Especially in specialist areas with a high proportion of imaging, such as radiology, AI has long been part of everyday clinical practice. However, the question of the extent to which AI actually influences workflows in a clinical setting remains largely unanswered.

Generative artificial intelligence (genAI) uses hundreds of millions, sometimes billions, of data points to train itself to produce realistic and innovative outputs that can mimic human-created content. Its applications include personalized recommendations for online shoppers, creating audio and visual content and accelerating engineering design. In health care, possible genAI uses include enhanci

AI systems are increasingly being deployed in safety-critical health care situations. Yet these models sometimes hallucinate incorrect information, make biased predictions, or fail for unexpected reasons, which could have serious consequences for patients and clinicians.

A software application developed by Los Alamos National Laboratory makes accurate, actionable information available after an unexpected airborne radiological release to help first responders, policymakers and health professionals respond quickly and effectively.

Researchers from Stanford University and Rensselaer Polytechnic Institute have developed an advanced AI model that improves the prediction accuracy of clinical trial approvals. The study, published in the journal Health Data Science, introduces a novel approach that quantifies uncertainty and enhances interpretability, significantly outperforming existing methods.

Digital technologies are transforming health care for all Australians, and this includes Aboriginal and Torres Strait Islander peoples. Electronic health interventions (eHealth) can involve features such as telehealth, instant messaging and mobile apps that support health care.

In just two months after its launch in 2022, ChatGPT garnered millions of global users, signaling a surge in generative artificial intelligence (GenAI) uptake globally. Users from the health care sector recognize the potential of the rapid rise, evolution and adoption of such tools, but also face a critical need for a standardized ethical framework.

Led by Helmholtz Munich, scientists have developed an accessible software solution specifically designed for the analysis of complex medical health data. The open-source software called "ehrapy" enables researchers to structure and systematically examine large, heterogeneous datasets. The software is available to the global scientific community to use and further develop.

As digital health tools grow in popularity due to rapid technological advancements and the shift toward personalized medicine, a new study highlights the critical need to focus on equity in their design.

A new application that uses artificial intelligence may revolutionize the way scientists study hair and could lead to the development of health diagnostics based solely on hair.

Imagine this. You've finally summoned up the courage to see a GP about an embarrassing problem. You sit down. The GP says, "Before we start, I'm using my computer to record my appointments. It's AI—it will write a summary for the notes and a letter to the specialist. Is that okay?"

Patients with early-onset colorectal cancer (EO-CRC) living in rural areas have lower five-year survival rates than their urban-dwelling counterparts, according to a research letter published online Aug. 28 in JAMA Network Open.

Artificial intelligence (AI) continues to command attention from senior leaders in health systems as executives search for ways to leverage the technology, according to the Top of Mind for Top Health Systems survey published by the Center for Connected Medicine (CCM) at UPMC.

The ChatGPT chatbot shows potential as a time-saving tool for responding to patient questions sent to the urologist's office, suggests a study in the Urology Practice journal.

Generative artificial intelligence (AI) powered by human language has made remarkable progress and gained widespread use through tools such as ChatGPT. While it is mostly known for helping with reading and writing, scientists are starting to explore how this type of AI can be used in research.

It may someday be possible to use Large Language Models (LLM) to automatically read clinical notes in medical records and reliably and efficiently extract relevant information to support patient care or research. But recent research from Columbia University Mailman School of Public Health using ChatGPT-4 to read medical notes from Emergency Department admissions to determine whether injured scoote

Samuel (Sandy) Aronson, ALM, MA, executive director of IT and AI Solutions for Mass General Brigham Personalized Medicine and senior director of IT and AI Solutions for the Accelerator for Clinical Transformation, is the corresponding author of a paper published in NEJM AI that looked at whether generative AI could hold promise for improving scientific literature review of variants in clinical gen

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease.

A new study of patients' electronic health records found that doctors were more likely to use negative words in describing visits with Black and Hispanic patients than white patients, something that could result in bias toward and unequal treatment of patients, according to the researchers.

Addressing the pressing demand for rapid and inexpensive coagulation testing in cardiovascular care, the team led by Lining Arnold Ju from The University of Sydney, introduces a novel application of repurposed COVID-19 rapid antigen tests (RATs) as paper-based lateral flow assays (LFAs) combined with machine learning for coagulation status evaluation.

An AI model developed by Northwestern Medicine investigators improved the transformation of EHR data into standardized health resources more efficiently than current methods, according to a recent study published in the journal NEJM AI.

AI is a rapidly growing technology that is now influencing the world of medical education. For educators, this emerging technology is showing its potential in bringing real value to classrooms. That said, the use of AI has led to the question about whether these intelligent systems can play a significant role in medical institutions.

Similar to other sectors around the world, the light speed development of artificial intelligence (AI) has made its way into health care, particularly the radiology field. As such, AI-based diagnostic systems are flourishing, with hospitals quickly adopting the technology to assist radiologists. In contrast, there are concerns about the environmental impact of increasingly complex AI models and th

Artificial intelligence (AI) has been integrated into an immersive virtual-reality-enhanced computer simulation program developed by researchers from Edith Cowan University (ECU) to train frontline health care workers in de-escalating aggression in patients.

Every disease is shaped by a genetic component as well as environmental factors like air pollution, climate and socioeconomic status. However, the extent to which genetics or environment play a role in disease risk—and how much can be attributed to each—isn't well understood. As such, the actions individuals can take to reduce their risk for disease aren't often clear.

In a systematic review published in Quantitative Biology, researchers from West Virginia University (WVU) and their collaborators critically examined the transformative impact of ChatGPT in the fields of bioinformatics and biomedical informatics. The study offers a comprehensive overview of ChatGPT's applications in key areas such as omics, biomedical text mining, drug discovery, image analysis, c

Artificial intelligence is quickly transforming the health care landscape from helping to diagnose diseases to assisting in surgery. Its rapid progression has the potential to transform how health care teams work by streamlining processes and improving patient outcomes.

A team from the University of Birmingham has reported a significant step forward in public health research, in a study of ectopic pregnancy published in BMC Medical Research Methodology.

Researchers at the National Institutes of Health (NIH) have found that an artificial intelligence (AI) model solved medical quiz questions—designed to test health professionals' ability to diagnose patients based on clinical images and a brief text summary—with high accuracy. However, physician-graders found the AI model made mistakes when describing images and explaining how its decision-making l

A joint artificial intelligence (AI)-assisted model integrating clinical information and endoscopic ultrasonographic (EUS) images improves diagnosis of solid lesions in the pancreas, according to a study published online July 19 in JAMA Network Open.

With respect to their lifetime prevalence of skin cancer, sexual minority (SM) adults differ across racial and ethnic groups and among males and females, according to a study published online July 17 in JAMA Dermatology.

Clinical guidelines are essential to the practice of evidence-based medicine, but they are long and complex, which makes it hard for busy doctors to quickly and easily find the information they need to care for each patient.

Envision a scenario where a single drop of blood provides comprehensive health insights within minutes. Thanks to recent scientific advancements, this vision may become reality.

The artificial intelligence (AI) model GPT-4, known from its application in ChatGPT, shows impressive capabilities in biomedical research and can be used in many ways for simulations. A simulator developed at MedUni Vienna and based on GPT-4 shows increased accuracy in classifying the importance of genes in cancer cells, as well as in the prognosis of cancer patients.

Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are increasingly transforming the medical field by enhancing diagnostic accuracy, prognostic predictions, precision treatments, and operational efficiency in health care systems. These advanced technologies enable the analysis of vast datasets, providing insights and decision-making support that were previously unattainabl

A colder nose and warmer cheeks may be a telltale sign of rising blood pressure. Researchers discovered that temperatures in different face regions are associated with various chronic illnesses, such as diabetes and high blood pressure. These temperature differences are not easily perceptible by one's own touch but can instead be identified using specific AI-derived spatial temperature patterns th

Large language model (LLM)-based classifiers can accurately detect guardian authorship of messages sent from an adolescent patient portal, according to a research letter published online June 25 in JAMA Network Open.

Osteoporosis is so difficult to detect in early stage it's called the "silent disease." What if artificial intelligence could help predict a patient's chances of having the bone-loss disease before ever stepping into a doctor's office?

Artificial intelligence models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don't always perform well across all demographic groups, usually faring worse in women and people of color.

Compared to straight and cisgender individuals, sexual and gender minority adults in the US are more likely to face barriers paying for or accessing adequate health insurance and health care, but few states collect sexual and gender identity (SOGI) information to better understand the health challenges and needs of this population.

In a demonstration of what is plausible in the developing world, Nigeria's Ekiti State University Teaching Hospital (EKSUTH) is changing from error-prone paper-based patient records to an advanced Electronic Health Record (EHR) system. This move will streamline patient information management and enhance the overall quality of care provided to patients.

Led by a team of researchers at University Hospitals Connor Whole Health, a new study finds that collecting paper-based patient-reported outcome (PRO) measures of pain, anxiety, and stress is feasible—and that provider, operational, and clinical-level factors impact successful completion more so than patient factors.

For the fourth year in a row, rates of gun injuries stayed above levels seen before the pandemic, a new government report shows.

Mailed HIV-self tests (HIVSTs) can increase testing among persons who have never received testing for HIV or have not received testing in the past year, according to research published in the June 20 issue of the U.S. Centers for Disease Control and Prevention Morbidity and Mortality Weekly Report.

From 2021 to 2022, there was a decrease in the percentage of adults who used telemedicine in the past 12 months, according to the June 20 National Vital Statistics Reports, a publication from the National Center for Health Statistics.

The latest issue of the journal Health Equity features a pivotal roundtable discussion titled "Implications and Insights on Federal Revisions to Race and Ethnicity Collection." This roundtable assembles leading experts to explore newly revised race and ethnicity data collection standards from the Office of Management and Budget (OMB), highlighting the significant impact these changes have on polic

Knowing whether or not a treatment is working just by wearing your watch? Data scientist Ahnjili ZhuParris has identified a lot of opportunities for the use of machine learning in clinical research to monitor test subjects at home. "It is low-threshold and accurate."

It might soon be possible to measure a patient's pulse, breathing, and blood pressure simply by scanning their face. This technology could offer a future tool for quickly assessing the severity of acute infection and other conditions, according to a thesis from the University of Gothenburg.

The recent surge in popularity of AI tools such as ChatGPT is forcing the science community to reckon with its place in scientific literature. Prestigious journals such as Science and Nature have attempted to restrict or prohibit AI use in submissions, but are finding it difficult to enforce because of how challenging it is becoming to detect machine-generated language.

Recommendations designed to reframe the evaluation of in vitro diagnostic tests (IVDs) have been published in the Journal of the Royal Statistical Society: Series A.

In contrast to traditional cancer treatments such as surgery, chemotherapy, and radiotherapy, photodynamic therapy (PDT) is emerging as a novel method that uses specific wavelengths of light to activate photosensitizers. This activation generates reactive oxygen species that effectively destroy tumor cells.

Will the threats associated with artificial intelligence be as bad as some fear? Or will AI be relatively benign? Could the answer be somewhere in between?

A team of chemical and biological engineers at Seoul National University in the Republic of Korea has developed a proof-of-concept device that could one day lead to the creation of an artificial nose.

A study published in Health Data Science introduces a curated bibliographic dataset that aims to revolutionize the landscape of Health Artificial Intelligence (AI) research. Led by Xuanyu Shi and Jian Du from Peking University, this dataset integrates a vast array of Health AI-related documents, offering an invaluable resource for researchers, policymakers, and practitioners.

Removing race from equations that estimate lung function will shift the categorization of disease severity across patient populations, moving more Black individuals into an advanced disease category, according to new research led by scientists at Harvard Medical School. At the same time, more white and Hispanic people would be reclassified as having less advanced illnesses.

Patients admitted to Houston Methodist Hospital get a monitoring device about the size of a half-dollar affixed to their chest—and an unwitting role in the expanding use of artificial intelligence in health care.

ChatGPT, the artificial intelligence (AI) chatbot designed to assist with language-based tasks, can effectively extract data for research purposes from physicians' clinical notes, UT Southwestern Medical Center researchers report in a new study.

"Sticks and stones may break my bones," the old adage goes. "But words will never hurt me." Tell that to Eugenia Rho, assistant professor in the Department of Computer Science, and she will show you extensive data that prove otherwise.

New research from Penn Nursing's Center for Health Outcomes and Policy Research (CHOPR)—recently published in the journal Research in Nursing & Health—has successfully validated a new, streamlined version of the Practice Environment Scale of the Nursing Work Index (PES-NWI), originally authored in 2002 by Eileen T. Lake, Ph.D., RN, FAAN, Professor of Nursing, the Edith Clemmer Steinbright Professo

Human tissue is intricate, complex and, of course, three dimensional. But the thin slices of tissue that pathologists most often use to diagnose disease are two dimensional, offering only a limited glimpse at the tissue's true complexity. There is a growing push in the field of pathology toward examining tissue in its three-dimensional form. But 3D pathology datasets can contain hundreds of times

Emergency departments nationwide are overcrowded and overtaxed, but a new study suggests artificial intelligence (AI) could one day help prioritize which patients need treatment most urgently.

In industries such as health care, where data generation grows by 47% each year, information collected within electronic health records could help inform more efficient care operations or more accurate diagnoses. However, personal health data is highly protected and largely goes untouched by analysts and researchers.

Scientists have designed a new artificial intelligence model that emulates randomized clinical trials to determine the treatment options most effective at preventing stroke in people with heart disease.

Video-enabled glasses have the potential to support patients at risk of falls by allowing medical staff to monitor how they move around their homes and their community. However, with privacy concerns at the forefront of this new technology, academics at Northumbria University have carried out a cutting-edge study into the ethical use of AI to ensure video footage can be obscured to ensure patient

Brain-computer interfaces (BCIs) have the potential to make life easier for people with motor or speech disorders, allowing them to manipulate prosthetic limbs and employ computers, among other uses. In addition, healthy and impaired people alike could enjoy BCI-based gaming.

Today's NHS faces severe time constraints, with the risk of short consultations and concerns about the risk of misdiagnosis or delayed care. These challenges are compounded by limited resources and overstretched staff that results in protracted patient wait times and generic treatment strategies.

A new study by investigators from Mass General Brigham demonstrates that large language models (LLMs), a type of generative AI, may help reduce physician workload and improve patient education when used to draft replies to patient messages.

State-of-the-art artificial intelligence systems known as large language models (LLMs) are poor medical coders, according to researchers at the Icahn School of Medicine at Mount Sinai. Their study, published in the April 19 online issue of NEJM AI, emphasizes the necessity for refinement and validation of these technologies before considering clinical implementation.

Advanced artificial intelligence (AI) systems have shown promise in revolutionizing the field of pathology by transforming the detection, diagnosis, and treatment of disease; however, the underrepresentation of certain patient populations in pathology datasets used to develop AI models may limit the overall quality of their performance and widen health disparities.

With large language models that take notes during patient visits and algorithms that identify disease, artificial intelligence has begun to prove its worth as an assistant for physicians. But a new study from Stanford Medicine shows the potential of AI as a facilitator—one that helps doctors and nurses connect to achieve more efficient, effective patient care.

The widespread use of artificial intelligence (AI) in medical decision-making tools has led to an update of the TRIPOD guidelines for reporting clinical prediction models. The new TRIPOD+AI guidelines are launched in the BMJ today.

The next time you have a suspicious-looking mole on your back, your dermatologist may be able to skip the scalpel and instead scan the spot with a noninvasive "virtual biopsy" to determine whether it contains any cancerous cells. Similarly, surgeons trying to determine whether they have removed all of a breast tumor may eventually rely on an image captured during surgery rather than wait for a pat

Much like the game of connect the dots, Megan McDougal's academic and professional career share points that have come together to form one big picture.

While the garbled translation of a newspaper article in a foreign language may be nothing more than an annoyance, uses of machine translation technology extend to higher-stakes settings as well: In a hospital emergency room, incorrectly translated discharge instructions or medication protocols could have life-threatening consequences.

A new study recently published in the Journal of the American Medical Informatics Association (JAMIA) reveals how large language models (LLMs) respond to different motivational states.

Imagine you're shopping online and talking to a helpful bot about buying some new shoes. That's the basic idea behind large language models (LLMs). LLMs are a type of artificial intelligence (AI) and they are gaining traction in health care.

A simple screening tool integrated into the admissions process for critically ill patients can streamline requests for palliative care consultations, according to a study published in Critical Care Nurse (CCN).

A recent review shows that ChatGPT-4, an artificial intelligence program designed to understand and generate human-like text, has outperformed internal medicine residents and attending physicians at two academic medical centers at processing medical data and demonstrating clinical reasoning.

A study published in Health Data Science introduces an end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field of drug discovery. This innovative framework adeptly integrates structured and unstructured knowledge, enhancing the AI-driven exploration of molecular dynamics and interactions.

A study in Health Data Science introduces an advanced research framework to dissect the vast textual landscape surrounding COVID-19. This methodology leverages keywords from Google Trends alongside research abstracts from the WHO COVID-19 database, offering a nuanced understanding of the pandemic's discourse dynamics.

A surge in the amount of digital data in the health sector, together with increases in compute power and the availability of new artificial intelligence (AI) tools are leading to an explosion of AI being used in health care, according to a new report from CSIRO, Australia's national science agency.

Data science methods can help overcome challenges in measuring and analyzing social determinants of health (SDoH), according to a paper published in The Lancet Digital Health, helping mitigate the root causes of health inequities that are not fully addressed through health care spending or lifestyle choices.

In a study published in the Annals of Family Medicine, researchers at the Marshall University Joan C. Edwards School of Medicine identify transformative effects of electronic health record (EHR) optimization on departmental productivity. With the universal implementation of EHR systems, the study sheds light on the importance of collaborative efforts between clinicians and information technology (

The AI model ChatGPT can write administrative medical notes up to 10 times faster than doctors without compromising quality. This is according to a study conducted by researchers at Uppsala University Hospital and Uppsala University in collaboration with Danderyd Hospital and the University Hospital of Basel, Switzerland. The research is published in the journal Acta Orthopaedica.

For years, it was harder for Black patients to secure a coveted spot on the national kidney transplant waitlist because a clinical algorithm was making Black patients appear healthier than they were. After a Penn Medicine researcher exposed the problem in 2019—and showed how it exacerbated racial disparities in kidney disease—a national task force recommended removing race from the algorithm's sco

ChatGPT accurately answers questions about genetic syndromes, genetic testing, and counseling, according to a study presented at the Society of Gynecologic Oncology Annual Meeting on Women's Cancer, held from March 16 to 18 in San Diego.

Imagine this: a novel virus is rapidly breaking out nationwide, resulting in an epidemic. The government introduces vaccination mandates and a choice of different vaccines is available.

Expanded U.S. Preventive Services Task Force (USPSTF) criteria for lung cancer screening (LCS) in 2021 have resulted in a 65.9 percent increase in the number of eligible individuals, according to a research letter published online March 21 in JAMA Network Open.

A new study led by the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King's College London has demonstrated the potential of an AI tool they developed to predict the health trajectory of patients by forecasting future disorders, symptoms, medications and procedures.

A new study examining the impact of the 2009 National Health Service Corps (NHSC) expansion on clinical diversity has found the number of Hispanic NHSC clinicians lacking relative to the Hispanic population.

Clinicians at Stanford Health Care will soon have access to an AI-powered app that can securely listen to interactions with patients and automatically generate draft clinical notes. The app, which was recently tested in a pilot program at Stanford Health Care, harnesses ambient voice recognition technology to create a written summary that captures essential clinical details.

In states that relaxed firearm laws to allow openly carrying a loaded firearm in public without a permit, significantly more people died by firearms and suicide than in states without permitless open carry laws, according to study findings published in the Journal of the American College of Surgeons.

The number of female genital mutilation survivors tops 230 million worldwide, UNICEF said in a new report Thursday, an increase of 15 percent since 2016 despite progress against the practice in some countries.

For nurse Judy Schmidt, the beeping monitors hooked up to critical patients at the Community Medical Center in Toms River, New Jersey, were just a normal part of the whirlwind of activity in the intensive care unit.

Health care portal use was higher during the COVID-19 pandemic, according to a study published online on Feb. 29 in JAMA Network Open.

Artificial intelligence helped clinicians to accelerate the design of diabetes prevention software, a new study finds. Publishing in the Journal of Medical Internet Research, the study examined the capabilities of a form of artificial intelligence (AI) called generative AI or GenAI, which predicts likely options for the next word in any sentence based on how billions of people used words in contex

Kidney doctors and clinical scientists at Sheffield Teaching Hospitals NHS Foundation Trust are using artificial intelligence (AI) to better predict when a person's kidneys might fail.

Our nation's ability to treat the patients who require blood on any given day—from victims of mass-casualty events to those undergoing treatment for cancer—is in serious peril, according to a new viewpoint paper, "The Bloody Transfusion Problem," published in the JAMA.

From the invention of the wheel to the advent of the printing press to the splitting of the atom, history is replete with cautionary tales of new technologies emerging before humanity was ready to cope with them.

For millions of people, smartwatches aren't just a piece of technology. They can use them to take control of their health in ways never thought possible.

If health is a fundamental human right, health-care delivery must be improved globally to achieve universal access. However, the limited number of practitioners creates a barrier for all health-care systems.

SATURDAY, Feb. 24, 2024 (HeathDay News)—Colon cancer rates are on the rise among young Americans and Americans of color, so much so that the disease is now the leading cause of cancer death for men under 50 and the second most deadly cancer for women under 50.

Physicians and scientists have known for many years that our genetics not only shape our physical features like our smiles but also our risk for developing certain diseases.

Welcome to the world of modern medicine. Computer vision tools can accurately detect suspicious skin lesions or predict coronary artery disease from scans. Data-driven robots are guiding minimally invasive surgery.

Medical summarization, a process that uses artificial intelligence (AI) to condense complex patient information, is currently used in health care settings for tasks such as creating electronic health records and simplifying medical text for insurance claims processing. While the practice is intended to create efficiencies, it can be labor-intensive, according to Penn State researchers, who created

Rapid advances in artificial intelligence (AI) have opened the way for the creation of a huge range of new health care tools, but to ensure that these tools do not exacerbate preexisting health inequities, researchers urge the use of more representative data in their development.

Roots Community Health Center was slammed in 2020, with lines for its COVID-19 testing stations stretching around the block and exam rooms full of people struggling to breathe.

Addressing supply shortages in an organization can be like hitting a moving target—the problem may shift along with immediate supply and demand as the situation evolves.

Very few health systems have written formal policies addressing the use of artificial intelligence (AI), and even fewer have policies specific to generative AI, reflecting the rapid advances the solutions have made in health care, according to a new survey from the Center for Connected Medicine at UPMC (CCM).

Proprietary artificial intelligence software designed to be an early warning system for sepsis can't differentiate high- and low-risk patients before they receive treatments, according to a new study from the University of Michigan.

A range of reproductive factors, including the age when periods first start and early menopause, are all linked to a heightened risk of COPD—the umbrella term for progressive lung conditions that cause breathing difficulties—finds research published online in the journal Thorax.

Emergency medical service (EMS) systems are not consistently providing optimal care based on new national standards of quality to patients who call 911, according to a new study from the Icahn School of Medicine of Mount Sinai.

A new study shows that it is possible to use machine learning and statistics to address a problem that has long hindered the field of metabolomics: large variations in the data collected at different sites.

Smartphones, smartwatches and associated apps are constantly improving their ability to record and store personal health data. The initial proposal for the EU law for a European Health Data Space in 2022 would allow depersonalized health and wellness data to be shared without explicit consent in the future. There has been understandable pushback against it—not just from data protection officers.

Wellness visits and preventive health screenings have not returned to prepandemic levels, according to a study published online Feb. 2 in JAMA Health Forum.

Americans are cautiously optimistic that AI will be able to improve the health care they receive, a new Cleveland Clinic survey finds.

The thermal environment refers to the physical surroundings as it pertains to the heat exchange of an individual and its environment. Naturally, the thermal environment also relates to comfort, or more specifically, thermal comfort. This type of comfort is an important metric to measure an individual's feelings as it relates to their environment and can be directly associated with health, efficien

A review of 14 studies has found that empathetic care is associated with improved patient satisfaction, a metric linked to important implications for patient outcomes. However, strong conclusions were limited by quality and applicability of evidence. The review is published in Annals of Internal Medicine.

A narrative review from authors at Stanford University provides important insights for clinicians considering using large language models (LLMs) like ChatGPT in their routine practice, including suggestions for usage and potential pitfalls with mitigation strategies. The review is published in Annals of Internal Medicine.

As Australia swelters through a long, hot summer, the effects of heat waves and the likelihood of ambulance callouts is at the heart of new Griffith University research.

To improve the care coordination competency of nurses involved in the management of critically ill patients on life support, an electronic app—NCCCS—was developed by Associate Professor Chie Takiguchi of Toho University and Professor Tomoko Inoue of International University of Health and Welfare.

In the U.S., an average of nearly 70,000 children under the age of 5 are hospitalized with RSV every year, and nearly 7 million people have died from COVID-19 worldwide.

Accidental death is the most common type of mortality among United States military members and veterans who served in the wars in Afghanistan and Iraq. But there is limited knowledge on whether this risk, or the type of accidental death—such as motor vehicle accidents (MVA) or accidental overdose—vary following military members' return from deployment.

Muhammad Mamdani understands why people are wary of artificial intelligence having a say in their health care—but he's even more concerned about the patients who are waiting to benefit from the potentially life-saving benefits of AI-assisted medicine.

Rural Black residents of the South have higher mortality, or death, rates than rural Black residents elsewhere, and so did Hispanic residents of the rural South and West, according to a new study by two researchers in the Penn State College of Health and Human Development.

Medicine and health care are already so immersed in new digital technologies that we need to consider what is happening now. Terms such as telemedicine, artificial intelligence (AI), and open health, which a few years ago might have seemed like something from science fiction, have become part of our daily lives.

Human pathologists are extensively trained to detect when tissue samples from one patient mistakenly end up on another patient's microscope slides (a problem known as tissue contamination). But such contamination can easily confuse artificial intelligence (AI) models, which are often trained in pristine, simulated environments, reports a new Northwestern Medicine study.

The Austrian Institute for Health Technology Assessment (AIHTA) has analyzed the Austrian registry landscape to provide a first overview of in the existing Austrian registries and the health data collected in each case. Based on the results, the researchers developed a guideline with important aspects for planning and operating medical registries to utilize the collected data's potential to improv

When you reach for that bottle of wine this Valentine's Day, do you know how healthy it is? Many people have a too-rosy view of the beverage and are surprised when confronted with the facts about it on a nutrition label, according to a study my co-author Natalia Velikova and I recently published in the Journal of Consumer Marketing.

Kingston University academics and staff from the Royal Borough of Kingston upon Thames' Department of Health Behaviors and Public Health Services have published an evaluation of the effectiveness of a series of locally led digital public health campaigns.

Charity Watkins sensed something was deeply wrong when she experienced exhaustion after her daughter was born.

Diagnostic accuracy is high in the emergency department, with about 5.7 percent of patients misdiagnosed, according to a report published Dec. 15 by the Agency for Healthcare Research and Quality.

Privacy concerns are common among users of Finland's national patient portal OmaKanta, a recent study by the University of Eastern Finland and the Finnish Institute for Health and Welfare shows. As many as one in three users had concerns about the security of their personal data.

Nurse home visits to disadvantaged mothers can significantly reduce their rates of hypertension and their daughters' likelihood of obesity, finds a new reanalysis of health data by a team led by a UCL researcher.

When it comes to trends in mortality over the last thirty years, countries around the world can be grouped into five clusters, roughly representing the five continents, according to a new study published January 17, 2024, in PLOS ONE by David Atance of Universidad de Alcalá, Spain, and colleagues.

A team of AI researchers at Google Research and Google DeepMind has developed the rudiments of an AI-based diagnostic dialogue system to conduct medical interviews. The group has published a paper describing their research on the arXiv preprint server.

In 2022, 5.7 percent of adults reported lacking reliable transportation for daily living, according to a January data brief published by the U.S. Centers for Disease Control and Prevention National Center for Health Statistics.

A new study led by researchers at the University of Chicago found that changes in male gender expression from adolescence to young adulthood align closely with the gender norms present in individuals' school environments and that these trajectories are associated with subsequent patterns of substance abuse.

Wastewater surveillance is a potent tool in understanding COVID-19 transmission within school settings, according to a groundbreaking study led by epidemiologist David Larsen from Syracuse University.

Where we live and work, our age, and the conditions we grew up in can influence our health and lead to disparities, but these factors can be difficult for clinicians and researchers to capture and address.

Medical students with co-occurring disabilities are more likely than their peers to experience burnout, a new Yale study finds. That risk increases if the student identifies as Asian or in a racial or ethnic group typically underrepresented in the medical fields. The findings, say the researchers, highlight the importance of reducing stigma and addressing the needs of students with disabilities.

The U.S. health care response during the early stages of the COVID-19 pandemic unveiled challenges in public health reporting systems and electronic clinical data exchange.

There is considerable variance in state reporting requirements regarding medically impaired drivers, according to a study published online Jan. 5 in JAMA Network Open.

Daylight Saving Time (DST) might be influencing our internet habits, according to research from the University of Surrey and the University of Padova (Italy).

A new study from researchers from Brigham and Women's Hospital, in collaboration with researchers at the University of California San Francisco, has shed light on the rate and impact of diagnostic errors in hospital settings.

Fraunhofer Austria and the AULSS2 Marca Trevigiana Institute in Treviso have developed a method based on artificial intelligence that can reduce the workload of laboratories.

U.S. health care workers were most likely to be infected with COVID-19 at work during the pandemic's first year, according to a new study that challenges previous research suggesting their risk was highest off the job.

Sensors applied to the skin hold promise for a non-invasive and low-cost method of identifying key biomarkers in sweat, which could help clinicians make earlier and more accurate diagnoses. Up until now, however, sensors could identify the presence of biomarkers but lacked the ability to accurately detect their concentration in the presence of erratic, intermittent and unpredictable sweat producti

A significant obstacle to improving care and outcomes for intensive care unit (ICU) patients is the unexpected nature of becoming seriously ill. Which groups of patients are likely to become severely ill, and will they survive their ICU stay?

Assessing how seriously injured a person is, involves weighing up lots of different parameters fast. If health care professionals could get support making fast-paced, life-critical decisions from an AI tool, more lives could be saved. This has been shown by research from Chalmers University of Technology in Sweden, along with the University of Gothenburg and the University of Borås.

Approximately 28,000 snakebites caused by venomous snakes of medical importance are reported annually in Brazil, according to Health Ministry data. The number is certainly a significant underestimate because many snakebites are not reported.

Nearly one in five deceased patients are marked alive in electronic health records (EHRs) and 80 percent received primary care outreach after their death, according to a research letter published online Dec. 4 in JAMA Internal Medicine.

ChatGPT can be a useful and convenient tool for people who want to know nutritional information of specific food items, according to a research letter published online Dec. 27 in JAMA Network Open.

Compared to patients who had a virtual visit with their own family doctor, those who received virtual care from a doctor outside of their family care team were 66% more likely to visit the emergency department within seven days, according to new research.

For a cohort of veterans, disparities in preoperative life-sustaining treatment (LST) documentation rates persist based on race and ethnicity, rurality of residence, and history of mental health disability, according to a study published online Dec. 19 in JAMA Network Open.

In the not-so-distant future, people might be able to tune in to their favorite news source for an update on their community health status, just as they check on the local weather forecast.

Patients with emergency department encounters are more likely to screen positive for social determinants of health (SDOH) needs, according to a research letter published online Dec. 19 in JAMA Network Open.

With concerns mounting that artificial intelligence (AI) could have a profound impact on traditional teaching in academic settings, many question the role of ChatGPT, a sophisticated AI language model that can generate content that mimics human conversation.

Most patients felt online GP consultations were quicker, more flexible, and more efficient than traditional consulting methods, in the largest study of patient views on the topic ever carried out.

Over 1.05 million deaths were associated with antimicrobial resistance (AMR) and 250,000 deaths were attributable to AMR in the WHO African region, posing an unprecedented health threat. That's according to a new study published in The Lancet Global Health.

In an editorial published in PNAS Nexus, Monica M. Bertagnolli assesses the promise of artificial intelligence and machine learning (AI/ML) to study and improve health. The editorial was written by Dr. Bertagnolli in her capacity as director of the National Cancer Institute. AI/ML offers powerful new tools to analyze highly complex datasets, and researchers across biomedicine are taking advantage.

AI models in health care are a double-edged sword, with models improving diagnostic decisions for some demographics, but worsening decisions for others when the model has absorbed biased medical data.

Wearable medical sensors have opened doors for remote health monitoring and treatment evaluation. But making diagnoses and treatment plans based on many datapoints—such as muscle movements, heart rate, breathing or speaking and swallowing—can be difficult for health care providers to do quickly.

A new study provides the latest data on the low rates for screening and documenting Social Determinants of Health (SDOH) in health care settings.

Large language models (LLMs) like ChatGPT and GPT-4 have the potential to assist in clinical practice to automate administrative tasks, draft clinical notes, communicate with patients, and even support clinical decision making. However, preliminary studies suggest the models can encode and perpetuate social biases that could adversely affect historically marginalized groups.

Researchers from the University of Liverpool have outlined a framework for artificial intelligence (AI) to improve antimicrobial use and infection care, helping to address the global challenge of antimicrobial resistance (AMR).

There are differential benefits associated with a percutaneous coronary intervention–capable facility (PCI-CF) opening based on patient race and community segregation, according to a research letter published online Dec. 12 in JAMA Network Open.

Among adults age 65 years and older, mortality was declining before the COVID-19 pandemic, although the rate of decline slowed from 2009, according to the Dec. 15 National Vital Statistics Reports, a publication from the U.S. Centers for Disease Control and Prevention.

American physicians have mixed feelings on the advent of artificial intelligence (AI) into mainstream medical practice, a new survey shows.

A paper published in JAMA Network Open addresses bias in health care algorithms and provides the health care community with guiding principles to avoid repeating errors that have tainted the use of algorithms in other sectors.

A loaded revolver left out on a nightstand, a curious child—and unimaginable tragedy. Moments like this have occurred in American homes hundreds of times over the past two decades, killing 1,262 children, according to a sobering new report from the U.S. Centers for Disease Control and Prevention.

Suicide deaths in the civilian non-institutionalized working population are 32.0 and 8.0 per 100,000 among men and women, respectively, according to research published in the Dec. 15 issue of the U.S. Centers for Disease Control and Prevention Morbidity and Mortality Weekly Report.

The future for AI regulation is currently being charted in the United States and will have significant effects on the health sciences, writes Vanderbilt researcher Laura Stark in a new article.

Female victims of gun violence in the US are less likely to die than their male counterparts, despite having similar injury severity, finds a seven-year analysis of a US national injury database, published in the open access journal Trauma Surgery & Acute Care Open.

A new study underscores the alarming occurrence of intimate partner violence (IPV) as the cause of assault-related injuries resulting in anoxia, or the complete lack of oxygen flow to tissues and organs. Led by investigators from Brigham and Women's Hospital, a founding member of the Mass General Brigham health care system, the study found that IPV accounted for 40 percent of assault-related anoxi

Considerable attention has focused on mental illness as a major contributor to homicides in the United States. Serious mental illness affects more than 14 million Americans ages 18 and older and nearly 58 million people reported having a mental illness.

A lack of trust between institutions in Australia is a bigger hurdle to the easy sharing of health and social welfare data than perceived state legislation obstacles—which researchers say largely don't have a detrimental effect in Australia.

In celebrating its 75th anniversary, the World Health Organization has recently called for a renewed drive for health equity—that is, the opportunity for everyone to achieve an optimal health status.

Physician-investigators at Beth Israel Deaconess Medical Center (BIDMC) compared a chatbot's probabilistic reasoning to that of human clinicians. The findings, published in JAMA Network Open, suggest that artificial intelligence could serve as useful clinical decision support tools for physicians.

Can AI save us from the arduous and time-consuming task of academic research collection? An international team of researchers investigated the credibility and efficiency of generative AI as an information-gathering tool in the medical field.

Many people from racial and ethnic minority groups brace themselves for insults and judgments before medical appointments, according to a new survey of patients that reaffirms the prevalence of racial discrimination in the U.S. health system.

A new study focused on wearable health monitors underscores an entrenched problem in the development of new health technologies—namely, that a failure to understand race means the way these devices are developed and tested can exacerbate existing racial health inequities.

There has been a surge in academic and business interest in software as a medical device (SaMD). It enables medical professionals to streamline existing medical practices and make innovative medical processes such as digital therapeutics a reality. Furthermore, SaMD is a billion-dollar market. However, it is not clearly understood as a technological change and emerging industry.

As hospitalizations due to chronic conditions increase across the United States, attention is focusing on using data collected in electronic health records (EHRs) by health care systems to enable public health departments to gain an understanding of the incidence and prevalence of hypertension, diabetes, asthma, obesity and other chronic diseases with the ultimate goal of improving disease outcome

Over the course of the pandemic, COVID-19 hit Black communities and communities of color particularly hard. According to the Centers for Disease Control and Prevention, Black, Hispanic, American Indian, Alaska Native, Native Hawaiian, and other Pacific Islander people are about twice as likely to die from COVID-19 as white people. Older adults and young children are also more vulnerable to adverse

A trip to the doctor's office comes with a bit of preparation for most, maybe even an internal pep talk to prepare for being told to get more exercise or calm a simmering fear of needles.

Hunting season has begun in many parts of the United States, with millions of Americans heading into the woods in hopes of bagging a big buck.

Whether it's a question of analyzing medical images, detecting drug interactions, or creating brain-computer interfaces, it seems like the potential applications of artificial intelligence (AI) in the health care industry are endless.

Isotretinoin users do not have an increased risk for suicide or psychiatric disorders and may have a lower risk for suicide attempts, according to a review published online Nov. 29 in JAMA Dermatology.

Wearable devices that use sensors to monitor biological signals can play an important role in health care. These devices provide valuable information that allows providers to predict, diagnose and treat a variety of conditions while improving access to care and reducing costs.

An initiative at a Texas hospital contributed to reductions in chest tube duration, hospital length of stay and readmissions for patients with lung cancer who had a pulmonary lobectomy, according to new research published in Critical Care Nurse.

Patients given transitional care before and during discharge from hospital—such as joint discharge planning follow up visits or phone calls—are less likely to be readmitted according to University of Manchester researchers.

Health care has historically been slow to adopt new technologies that involve wholesale changes to the nature of the work. Witness the slow and checkered roll-out of electronic health records and the utter failure of prior efforts to implement artificial intelligence tools, such as IBM's vaunted but ultimately doomed experience with Watson Health.

The latest national data show that when it comes to suicide, Americans are increasingly resorting to firearms as their method of choice.

Controversial US tech company Palantir has been awarded a £330 million contract to create a new system for sharing data—including patients' medical details—within the NHS in England.

A new AI-assisted molecular diagnostic platform capable of identifying variants of COVID-19 and other infectious diseases has been developed by scientists in the UK. The low cost, portable device could play a crucial role in preventing future pandemics due to its accuracy and versatility.