Researchers from Stanford University and the University of Washington have developed an auditing framework designed to shed light on the ‘black box’ decision-making processes of healthcare...
Health systems are increasingly prioritizing the development of artificial intelligence (AI) oversight efforts as they continue to navigate the potential promise and pitfalls of these tools in...
Artificial intelligence (AI) chatbots like ChatGPT, Google Bard, and BingAI provide information about musculoskeletal health with inconsistent accuracy, according to recent studies presented at the...
Researchers from University of Utah Health have developed a precision medicine tool to provide insights into how medications can best be used in pediatric cancer populations.
Drug dynamics, or...
Researchers from Mount Sinai have been awarded $4.1 million from the National Heart, Lung, and Blood Institute (NHLBI) at the National Institutes of Health (NIH) to develop artificial intelligence (AI)...
Cedars-Sinai researchers have developed an artificial intelligence (AI)-driven virtual reality (VR) tool to provide mental health support for patients with mild to moderate anxiety or depression,...
The American Health Information Management Association (AHIMA) has launched its AI Resource Hub to provide healthcare and health information (HI) stakeholders with knowledge around the use of...
A research team from the University of Texas at Arlington (UTA) has developed an algorithm to provide optimal personalized treatment options for esophageal cancer patients, according to a January study...
University of Virginia (UVA) researchers have developed a machine learning tool to identify factors associated with cardiac fibrosis and predict which drug candidates can help prevent the...
In a recent viewpoint published in the Journal of the American Medical Association (JAMA), researchers from the University of California San Diego (UCSD) argued that the White House Executive Order on...
Predictive analytics in healthcare plays a major role in improving care delivery and patient outcomes. By leveraging historical data, this type of analytics allows health systems to gauge what’s...
A research team from The Texas Heart Institute recently developed a machine learning (ML) tool capable of characterizing and predicting diuretic responsiveness in individuals with acute decompensated...
Researchers from the University of Texas at Arlington (UTA) have developed a model to predict how a patient’s Alzheimer's will progress over time, according to a study published recently in...
Clinical decision support tools can help organizations manage large volumes of data while enabling them to deliver quality, value-based care.
Designed to sort through large amounts of data and provide...
Insights from Deloitte’s 2024 Health Care Generative AI Outlook Survey indicate that healthcare executives’ narrow focus on data could create blind spots that could prevent organizations...
Researchers from City of Hope and its precision medicine research organization, the Translational Genomics Research Institute (TGen), have developed a machine learning (ML) approach that could...
Researchers from Johns Hopkins University and Columbia University have developed a technique to improve the performance of artificial intelligence (AI) and machine learning (ML) models for medical note...
Researchers from the University of California (UC) San Diego School of Medicine have found that an artificial intelligence (AI) model deployed in emergency departments to forecast patients’...
Researchers from Cleveland Clinic and IBM have found that artificial intelligence (AI) models can help provide insights into how antigen peptides interact with immune cells, which could be used to...
A research team from the University of Michigan has developed a machine learning tool capable of accurately predicting death, major bleeding events, and the need for blood transfusion in patients...
