Researchers at the Icahn School of Medicine at Mount Sinai have developed an artificial intelligence (AI) model to predict which medicines and preclinical compounds may cause birth defects.
The model,...
A study published last month in Therapeutic Advances in Gastroenterology demonstrated that a deep learning (DL) model can predict the need for biological therapy using capsule endoscopy (CE) videos of...
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...
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...
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...
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...
A study published last week in JAMA Network Open demonstrated that four widely used predictive models for estimating ten-year dementia risk have limited clinical value and utility, indicating that more...
Researchers have shown that omitting race and ethnicity as predictors in colorectal cancer recurrence risk prediction models may be associated with racial and ethnic biases that contribute to health...
Researchers at New York University (NYU) Grossman School of Medicine have developed a large language model (LLM) capable of predicting multiple clinical outcomes, including readmissions, and the tool...
Research from the Radiological Society of North America (RSNA) indicates that artificial intelligence (AI) algorithms performed better than the Breast Cancer Surveillance Consortium (BCSC) risk model...
Researchers have developed machine learning (ML) methods that can accurately identify predictors associated with fetal heart rate changes following neuraxial analgesia in healthy pregnant patients,...
Researchers have developed a health informatics tool capable of detecting antibiotic allergy adverse events in near real-time, which may help provide clinicians with feedback about the harms of...
Computed tomography (CT) scans for coronary artery calcium significantly improved risk predictions for heart disease in middle-aged patients compared to polygenic risk scores, according to a study...
The Centers for Disease Control and Prevention (CDC) recently announced a new Notice of Funding Opportunity (NOFO) via the Center for Forecasting and Outbreak Analytics (CFA) aimed at enhancing...
Artificial intelligence (AI) algorithms used to screen for and predict type 2 diabetes may be racially biased, which could perpetuate health disparities, according to a study published last week in...