Researchers at Mount Sinai have developed an artificial intelligence (AI) tool that can estimate histopathological brain age, predict age at death, and identify areas of the brain vulnerable to...
Mayo Clinic Platform_Accelerate has announced its fourth cohort of health tech startups to participate in the program, which is designed to support the validation and clinical readiness of each...
Researchers from the Mount Sinai Icahn School of Medicine and the University of Michigan have found that the deployment of predictive analytics tools may influence the predictive capabilities of...
Researchers at the University of Texas at Arlington (UTA) have been awarded a $450,000 grant from the National Institute of General Medical Sciences to develop a machine learning-based model to predict...
Researchers demonstrated that a machine learning (ML) model could effectively predict short- and long-term suicidal ideation in sexual and gender minority individuals using ecological momentary...
The Centers for Disease Control and Prevention (CDC) awarded roughly $262.5 million in grant funding over the next five years to 13 institutions to help establish a national infectious disease and...
Machine learning (ML) may help define personalized temperature norms and improve the clinical utility of oral temperature measurements, according to a study published this month in JAMA Internal...
Researchers at the University of Michigan have developed a machine learning (ML) model to help optimize therapeutic antibodies and make them less prone to binding non-target molecules, according to a...
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...
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...
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...
In anesthesiology, as in all medical specialties, clinicians strive to support patient safety and improve outcomes. Some anesthesiology professionals are investigating how advanced technologies like artificial intelligence (AI) and machine...
In a recent study published in JAMA Network Open, researchers found discrepancies between the marketing and 510(k) clearance of artificial intelligence (AI)- or machine learning (ML)-enabled medical...
In a recent study published in BMC Medical Research Methodology, researchers developed multiple algorithms capable of identifying important osteoarthritis (OA) patient subgroups, such as those...
Researchers have developed a machine learning (ML) model that can accurately predict risk of posttraumatic stress disorder (PTSD) prior to United States military deployment, according to a study...
To enhance the process of identifying medical issues in patients after operations, two researchers from the University of Pittsburgh and UPMC created a machine-learning (ML) model trained on data from...
Researchers at the University of Pittsburgh Medical Center (UPMC) have developed a machine learning (ML) tool capable of using electrocardiogram (ECG) readings to detect and classify heart attacks more...
During the 83rd Scientific Sessions held by the American Diabetes Association (ADA) in San Diego, California, over the weekend, researchers presented studies detailing advancements in diabetes care...
The Jump Applied Research through Community Health through Engineering and Simulation (ARCHES) research and development program has announced that almost $1.2 million in grant funding has been awarded...
Using data from a Chinese hospital, researchers from the University of California, Riverside (UCR), found that a machine learning (ML) approach could assess patient age, weight, and other illnesses to...
