Artificial intelligence (AI) technologies have garnered much attention in the healthcare industry in recent years, but the hype raises significant questions and concerns.
How should these technologies be developed? For what use cases?...
The McKelvey School of Engineering at Washington University in St. Louis has established the AI for Health Institute, which will bring together clinical researchers and artificial intelligence experts...
Researchers from the University of North Carolina (UNC) Department of Surgery, the Joint UNC-North Carolina State University (NCSU) Department of Biomedical Engineering, and the UNC Lineberger...
Researchers from the University of Houston have been awarded a $3 million grant from the National Institute of Diabetes and Digestive and Kidney Diseases to develop an artificial intelligence (AI) to...
Artificial intelligence (AI) has been the subject of intense interest and scrutiny within the medical community in recent years, boasting significant pros and cons that continue to fuel debate in the healthcare sector.
The Research and...
Researchers from the University of Texas at Austin’s (UT Austin) College of Natural Sciences and Dell Medical School have developed an artificial intelligence (AI) model capable of identifying...
Mass General Brigham researchers demonstrated that ChatGPT can achieve “impressive accuracy” in clinical decision-making, with increased performance as the tool is fed more clinical...
A machine learning (ML) model can automatically predict esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) three years before a formal diagnosis, according to a study published...
In a perspective article recently published in the New England Journal of Medicine, researchers from the University of Maryland School of Medicine (UMSOM) and Beth Israel Deaconess Medical Center...
A survey conducted by the Healthcare Information and Management Systems Society (HIMSS) and healthcare data analytics company Arcadia about the current state of healthcare analytics platforms...
According to a new study, using clinical decision support (CDS) tools in various care quality metrics, such as aspirin use and blood pressure control, did not reduce healthcare disparities among...
A new study effectively detects those at the highest risk of domestic violence re-offenses. This data would be valuable in allocating treatment toward malleable risk factors among high-risk...
Emergency medical services (EMS) and first response teams play an instrumental role in providing timely, life-saving healthcare. To help make emergency care more efficient and improve patient outcomes, many EMS organizations are evaluating...
Researchers from Mass General Brigham have shown that ChatGPT and other large language models (LLMs) may be able to accurately identify appropriate imaging tests for certain clinical presentations,...
Researchers from Beth Israel Deaconess Medical Center (BIDMC) demonstrated that generative artificial intelligence (AI) technologies, such as ChatGPT, may serve as promising assistive tools for...
Researchers at New York University (NYU) Grossman School of Medicine have developed a large language model (LLM) capable of predicting multiple clinical outcomes, including readmissions, and the tool...
Researchers have demonstrated that a machine learning (ML)-based clinical decision support tool can accurately triage patients with respiratory symptoms before they visit a primary care clinic, which...
A new opinion piece published in the Journal of the American College of Radiology discusses the potential benefits, pitfalls, and ethical implications of leveraging large language models (LLMs),...
Researchers have developed a health informatics tool capable of detecting antibiotic allergy adverse events in near real-time, which may help provide clinicians with feedback about the harms of...
Researchers from the University of Arizona (UArizona) Health Sciences found that patients are almost evenly split about whether they would prefer a human clinician or an artificial intelligence...
