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...
Researchers have developed and externally validated a prediction model to detect early-stage pancreatic cancer using routinely collected blood biomarkers, according to a recent study published in JAMA...
United States healthcare providers are accelerating their investment into IT and software technologies, with 80 percent of healthcare executives reporting that they’ve increased spending...
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...
Microsoft and healthcare technology company Paige have launched a partnership to create the world’s largest image-based artificial intelligence (AI) models for digital pathology and...
Researchers from Yale School of Public Health (YSPH) have developed an artificial intelligence (AI)-driven patient triage platform capable of forecasting length of hospitalization and disease severity...
Researchers from Stanford have leveraged pathology images and comments from Twitter, now known as X, to develop a large public dataset and artificial intelligence (AI) model for pathology image...
Researchers from Mass General Brigham, New York’s Albert Einstein College of Medicine, and Boston Children’s Hospital demonstrated that artificial intelligence (AI) voice assistants...
The American Heart Association (AHA) released new policy guidance in Circulation this week outlining six principles for patient data sharing in medical research.
The statement emphasizes that EHRs,...
Researchers at Yale School of Medicine have developed a deep learning (DL) approach that can accurately detect aortic stenosis by analyzing heart ultrasound scans, according to a study published last...
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...
Researchers from the Indiana University Richard M. Fairbanks School of Public Health (IU Fairbanks School) and Regenstrief Institute have validated the generalizability and portability of a natural...
Researchers from the Massachusetts Institute of Technology (MIT) have developed a deep learning (DL) model that can correct magnetic resonance imaging (MRI) scans corrupted by motion artifacts,...
Researchers from Brigham and Women’s Hospital and Keio University in Japan have developed a deep learning (DL) model capable of screening electrocardiograms (ECGs) for signs of atrial septal...
In a special communication published this month in JAMA, researchers discussed the creation and adoption of large language models (LLMs) in healthcare, asserting that the process must be actively...
In a study recently published in JAMA Network Open, researchers have externally validated a machine learning (ML) model designed to predict six-month mortality risk for patients with advanced cancer...
Researchers have developed a natural language processing (NLP) algorithm to identify social determinants of health (SDOH) for Alzheimer's disease and related dementias (ADRD) patients using...
Researchers have developed a deep learning (DL) model capable of predicting cancer-related protein fragments that may elicit an immune response, which may aid the advancement of personalized cancer...
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...
