With the support of a three-year, $755,000 grant from the US Department of Defense’s Congressionally Directed Medical Research Programs, Case Western Reserve University researchers are testing...
According to Mayo Clinic researchers, a novel artificial intelligence algorithm can predict long-term patient survival after cardiac surgery.
The research team found an algorithm that previously...
Massachusetts General Hospital (MGH) researchers found that magnetic resonance imaging (MRI) and artificial intelligence (AI) can be used to detect early signs of tumor cell death in response to a...
With artificial intelligence, researchers have developed a method for providing insight into how diseases or injuries change the body, down to individual cells.
The imaging tool known as TDAExplore...
As artificial intelligence (AI) continues to grow in the healthcare field, researchers are findings new ways to utilize its capabilities. In chronic disease management and prevention, especially in cancer research, AI has been critical in...
As providers continue to target improved patient outcomes, more organizations are utilizing artificial intelligence, data analytics, and machine learning. However, organizations should follow ethical standards to ensure positive results...
After creating an artificial intelligence tool using retrospective data, Dartmouth-Hitchcock Medical Center and Cheshire Medical Center are implementing the technology in a clinical trial.
The tool...
According to a multi-institution research team, predictive analytics thrives with input from both artificial intelligence and humans.
“Predictive tasks are ubiquitous — any...
Massachusetts General Hospital, the Broad Institute of MIT, and Harvard researchers created an artificial intelligence-based approach to identifying patients at risk of developing atrial fibrillation,...
A new prediction model created by Mount Sinai researchers can score risks and determine potential contrast-associated acute kidney injury (CA-AKI) among patients undergoing percutaneous coronary...
While artificial intelligence has become essential in advancing medical research, scientists have yet to work out all the technology’s flaws. A University of Texas at Arlington computer scientist...
Using data from the National Institute of Mental Health, UT Southwestern Medical Center researchers created a predictive model to determine how a patient will respond to antidepressants.
According to...
At the American College of Rheumatology (ACR) annual meeting on November 6, Hospital for Special Surgery researchers presented the results from the RA2-Dream Challenge, a crowdsourced effort to develop...
Massachusetts Institute of Technology researchers examined the issue of shortcuts in a popular machine learning method and proposed a solution forcing the model to use more data in its decision-making...
Cleveland Clinic researchers developed a new machine learning model that uses predictive analytics to determine whether immune checkpoint blockade (ICB), a growing class of immunotherapy drugs, will be...
Tulane University researchers discovered that artificial intelligence can accurately detect and diagnose colorectal cancer by analyzing tissue scans as well or better than pathologists.
The study was...
A recent KLAS Research report used analytics to evaluate which vendors deliver the best risk adjustment.
According to the report, there is a growing interest in adopting risk adjustment solutions....
The University of Massachusetts Amherst and Brigham and Women’s Hospital announced the launch of the new Massachusetts AI and Technology Center for Connecter Care in Aging and Alzheimer’s...
The Georgia Institute of Technology and Ovarian Cancer Institute researchers are using machine learning algorithms to predict how patients will respond to cancer-fighting drugs.
Advances in machine...
Using predictive analytics, the University of Colorado School of Medicine and UCHealth University of Colorado Hospital scientists have found specific genetic biomarkers that show who is infected with...
