The Coalition to End Racism in Clinical Algorithms (CERCA), a New York City Health Department-led effort to investigate the use of race-based medical algorithms, is expanding its work to include...
At the 2023 Office of the National Coordinator for Health Information Technology (ONC) Annual Meeting, 28 health systems and payers signed a pledge to advance the ethical and responsible use of...
A new survey published by the American Medical Association (AMA) shows that clinicians are enthusiastic but cautious about augmented intelligence — also known as artificial intelligence (AI)...
Google announced the launch of MedLM, a suite of foundation models designed to help healthcare organizations meet their needs through generative artificial intelligence (AI), according to a blog post...
Researchers have developed and validated a predictive model capable of identifying late postpancreatectomy hemorrhage (PPH) risk in patients with postoperative pancreatic fistula (cr-POPF) following...
Researchers have developed a deep neural network-based model to predict the most successful antihypertensive treatment for an individual, according to a study published recently in Mayo Clinic...
Stakeholders from the University of California (UC), Berkeley launched the Agile Metabolic Health project this week, an effort to enhance the treatment of diabetes and other metabolic disorders through...
Predictive models using self-report and proxy data can accurately forecast need for nursing home level of care (NHLOC) in community-dwelling older adults with dementia, according to a study published...
A systematic review and meta-analysis of randomized clinical trials (RCTs) published last week in eClinicalMedicine showed that artificial intelligence (AI)-aided colonoscopy may enhance the detection...
Researchers from Brigham and Women’s Hospital have determined that a large language model (LLM) may be more accurate at identifying patients with postpartum hemorrhage than standard methods,...
A deep learning model can accurately identify non-smokers at high risk for lung cancer using only routine chest X-rays, according to research presented at this year’s meeting of the Radiological...
A novel normative framework for healthcare artificial intelligence (AI), described in a recent issue of Patterns, asserts that medical knowledge, procedures, practices, and values should be considered...
Researchers from Northwestern University have developed an artificial intelligence (AI) tool that may be able to spare breast cancer patients unnecessary chemotherapy treatments by using cell patterns...
The American Medical Association (AMA) issued new principles to guide the development, deployment and use of augmented intelligence (AI) in healthcare, according to a press release shared with...
Researchers from the UCLA Health Jonsson Comprehensive Cancer Center have created an artificial intelligence (AI) model that can successfully predict cancer survival outcomes by analyzing epigenetic...
The National Institutes of Health (NIH) awarded $9.7 million to 26 two-year projects that will advance high-priority research by leveraging the All of Us Research Program dataset.
Each project...
Researchers from the University of Georgia’s College of Public Health (UGA Public Health) demonstrated that clinical decision rules (CDRs) for influenza may be less accurate in a telemedicine...
Researchers from University of Florida (UF) Health have demonstrated that a combination of machine learning (ML) and liquid chromatography-high resolution mass spectrometry (LC-HRMS) can help make...
Researchers from the McWilliams School of Biomedical Informatics at UTHealth Houston were awarded over $31 million for 16 projects aimed at driving innovations in healthcare artificial intelligence...
New data from Deloitte’s 2023 Health Care Consumer Survey indicate that health is a major driver of generative artificial intelligence (AI) use among consumers, many of whom expressed optimism at...
