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...
Developed by scientists at Harvard Medical School, an artificial intelligence (AI)-based tool can help guide surgical practices by decoding the DNA of a brain tumor during surgery, providing useful...
Researchers at the Pennsylvania State University (Penn State) have revealed that mobile phone data increasingly used in public health efforts may underrepresent vulnerable populations and magnify...
A new study published last week in Nature Biotechnology demonstrated that a deep learning (DL) tool can predict on- and off-target activity of RNA-targeting CRISPR tools, which may spur the development...
Researchers from University Hospitals (UH) Seidman Cancer Center have validated the first-ever predictive artificial intelligence (AI) biomarker of androgen deprivation therapy (ADT) benefit in...
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 Texas MD Anderson Cancer Center have developed a predictive tool that combines a curated blood test and a personalized risk model to flag those at high risk of...
The United States Department of Veterans Affairs (VA) has launched a new study in which researchers from five VA medical centers will work to develop an artificial intelligence tool that can predict...
The Icahn School of Medicine at Mount Sinai has established the Center for Ophthalmic Artificial Intelligence and Human Health, which aims to advance artificial intelligence (AI) in ophthalmology,...
Researchers from the University of Chicago and Rush University Medical Center have developed a predictive model designed to identify women vulnerable to human immunodeficiency virus (HIV) using EMRs...
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...
Driven by its mission of using artificial intelligence (AI)-enhanced technology to support healthcare among older adults, the Massachusetts AI and Technology Center for Connected Care in Aging and...
Researchers have developed a generative artificial intelligence (AI) model capable of designing novel molecules to block SARS-CoV-2, the virus that causes COVID-19, according to a study published in...
Researchers presenting at this year’s Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting demonstrated that a computational model can accurately identify four subtypes of...
A study published recently in Cancer Prevention Research identified seven risk factors for early onset colorectal cancer in males under the age of 50, which researchers posit may improve adherence to...
A new predictor-informed distribution model that leverages artificial intelligence, developed by researchers at OSF Healthcare and the OSF Innovation group, eased the workflow of cancer patient...
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...
Researchers from Mass General Brigham have shown that ChatGPT and other large language models (LLMs) may be able to accurately identify appropriate imaging tests for certain clinical presentations,...
During the American Society of Echocardiography’s (ASE) 34th Annual Scientific Sessions, researchers highlighted how artificial intelligence (AI) may enhance cardiovascular imaging by helping...
