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...
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...
Research from Bain and Company indicated that although health executives acknowledge the capabilities of artificial intelligence (AI), many struggle with prioritization. This led researchers to create...
This week, United States Senator Mark R. Warner (D-VA), Chairman of the Senate Select Committee on Intelligence, sent a letter to Google CEO Sundar Pichai citing concerns about the company’s...
A new study from the University of California, Riverside (UCR) indicated that Google and ChatGPT contained positive features such as up-to-date and nonbiased information. When used effectively, these...
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...
Researchers at Emory University have validated a deep learning (DL) model capable of detecting early warning signs of diabetes using routinely collected chest radiographs and electronic health record...