In a study published this week in Nature Cancer, researchers at Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine described an artificial intelligence (AI)...
DePaul University and Rosalind Franklin University of Science and Medicine have announced funding for three interdisciplinary research projects aimed at leveraging artificial intelligence (AI) to...
A study to be published in the February 2023 issue of Plastic and Reconstructive Surgery found that an artificial intelligence (AI)-based automated pattern recognition model can predict whether surgery...
Johns Hopkins University researchers have developed machine-learning (ML) algorithms that can detect the early warning signs of delirium and predict which patients will be at high risk of delirium at...
Trinity Health and Strive Health announced plans to enhance treatment for chronic kidney disease (CKD) and end-stage kidney disease (ESKD) for Loyola Physician Partners patients using predictive...
A study published last week in JAMA Oncology highlights how researchers at Penn Medicine have developed a machine-learning (ML) intervention designed to predict cancer mortality risk and deliver...
In a recent viewpoint published in JAMA, researchers explored the challenges of curbing discrimination by a clinical algorithm, arguing that the US Department of Health and Human Services’ (HHS)...
Researchers from the Carle Illinois College of Medicine (CI MED) at the University of Illinois are investigating when and how medical artificial intelligence (AI) and machine learning (ML) models will...
Researchers from the University of California, Berkeley have developed machine-learning (ML) software that uses entries in EHRs to shed light on long COVID, including finding common symptoms and...
A study published last week in JAMA Network Open found that a machine learning (ML)-based model leveraging available administrative data can accurately estimate adverse opioid outcomes, which could...
A study published this week in Scientific Reports comparing hypertension incidence prediction models found little difference in performance between machine-learning (ML) models and conventional...
Published in JAMA Network Open, a recent study described how adding preoperative data and intraoperative hemodynamic monitoring data to a machine learning (ML)-based prediction model led to accurate...
Researchers from the Children’s Hospital of Philadelphia (CHOP) and the New Jersey Institute of Technology (NJIT) developed new machine-learning (ML) software to analyze multiple characteristics...
A group of researchers is conducting the Digital Detection of Dementia study that will evaluate the use of an artificial intelligence (AI)-based machine-learning (ML) algorithm that uses natural...
In a study published in Critical Care Medicine, researchers found that retraining and recalibration of a machine learning (ML)-based clinical decision support tool to predict readmission or death...
In a blog post published last week, experts from Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI) discussed the opportunities provided by foundation models for AI...
Published in Circulation: Heart Failure, a recent study conducted by Northwestern Medicine researchers found that adding social determinants of health (SDOH) data into machine learning models led to...
A study published this month in Scientific Reports found that an ensemble of machine-learning (ML) models can accurately predict six-month ovarian cancer mortality using patient-reported outcome data,...
In a study published this month in Smart Health, Florida Atlantic University (FAU) researchers used machine learning (ML)-based predictive analytics to evaluate the correlation between serology and...
Led by a Michigan Medicine cardiologist, a recent study found that a novel method using machine learning and molecular profiling can be leveraged to create blood-based dietary signatures that can...
