A study published last month in JAMA Network Open describes how researchers combined data from wearable devices and machine-learning (ML) methodologies to help predict attention-deficit/hyperactivity...
Researchers have developed a machine-learning (ML) model designed to use secondary data sources to accurately estimate the near real-time burden of weekly and annual firearm homicides in the US,...
Researchers from Carnegie Mellon University (CMU) have developed a machine learning (ML) tool designed to predict COVID-19 transmission using location and time data, according to a study published this...
A recent study published in JAMA Network Open found that machine-learning (ML) and artificial intelligence (AI) algorithms could use radiographs to diagnose hip fractures with comparable accuracy to...
In a paper published earlier this month in JMIR Formative Research, researchers explored the feasibility of using the Apple Watch to predict pain scores in hospitalized sickle cell disease patients and...
Researchers from the Medical University of South Carolina (MUSC) have developed a deep-learning (DL) approach that can identify patients with cirrhosis using clinical text in EHRs, according to a study...
In a recent article published by the American Association for Clinical Chemistry (AACC), Sarah Wheeler, PhD, an associate professor of pathology at the University of Pittsburgh School of Medicine,...
Stanford University researchers are leveraging artificial intelligence (AI) to help identify which computational models perform best at modeling mechanical stress on the brain, which may help drive...
The University of Kansas Health System announced a partnership with health technology company Abridge to deploy generative artificial intelligence (AI) technology across over 140 provider...
Recent research from Rutgers, the State University of New Jersey, described how artificial intelligence (AI) and machine learning (ML) could be used to examine genes within DNA, information that can...
UW Medicine and Delve Health have announced a collaboration aimed at using artificial intelligence (AI), machine learning (ML), and remote data capture to bolster endemic type 2 diabetes research.
The...
A research team from Johns Hopkins Medicine and Johns Hopkins University has developed a machine-learning (ML) tool capable of predicting who has the highest probability of being naturally resistant to...
In a study published this week in Science Translational Medicine, researchers from the Stanford School of Medicine revealed that a machine-learning (ML) algorithm could predict prematurity...
Seven research projects from the University of Utah received grants from One Utah Data Science Hub to advance efforts surrounding the use of artificial intelligence (AI) and machine learning (ML) in...
A research team from the University of Southern California (USC) Viterbi School of Engineering is proposing a novel architecture to address challenges that frequently arise when federated learning (FL)...
Researchers at Massachusetts General Hospital (MGH) and the University of California, San Francisco have identified eight social characteristics that can help to predict an older adult’s risk of...
A recent study from Stanford University Human-Centered Artificial Intelligence (Stanford HAI) described the creation of a machine-learning framework, known as POPDx, that aims to enhance the rare...
As reported in the Clinical Journal of the American Society of Nephrology, a randomized trial conducted by Vanderbilt University Medical Center (VUMC), the Dartmouth Geisel School of Medicine, and the...
After receiving a grant from the National Science Foundation, a group of researchers from Dell Children’s Medical Center of Central Texas created a machine-learning (ML) algorithm to track the...
A recent study by Yale University researchers detailed the creation of a machine-learning model that can assist researchers in determining physician turnover, enabling healthcare organizations to...
