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 new study published this week in Radiology shows that a deep-learning (DL) model may help improve care for patients who arrive at the hospital with acute chest pain.
According to the news release,...
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...
Researchers from Mass General Brigham and the Massachusetts Institute of Technology (MIT) have developed a deep-learning (DL) tool that can predict the risk of lung cancer for individuals with or...
A study published in JAMA Network Open earlier this month details the development of a prediction model designed to estimate the optimal number of immature eggs, or oocytes, to attempt to fertilize...
In a recent study, researchers validated a deep-learning (DL) model to predict lung cancer risk using chest radiographs and EMR data.
The Centers for Disease Control and Prevention (CDC) report that...
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...
A mixed-methods quality improvement study published in JAMA Network Open found that using suicide risk estimation analytics did not augment existing prevention practices as intended during routine...
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...
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...
Researchers at Weill Cornell Medicine have developed an artificial intelligence (AI) tool that can non-invasively identify in vitro fertilized embryos with aneuploidy, or an abnormal number of...
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...
Researchers from the Illinois Institute of Technology (IIT) have received a $1.2 million grant from the National Institutes of Health (NIH) to develop a machine-learning (ML) tool for automated insulin...
A study recently published in the American Journal of Managed Care found that compared with a non-predictive algorithm-driven disease management (DM) program, a disease management outreach program...
As described in the journal Brain, a set of machine-learning (ML) tools developed by Johns Hopkins University researchers displayed the ability to accurately determine brain activity that may lead to...
Researchers from Massachusetts General Hospital and Brigham and Women's Hospital have developed a deep-learning model that uses a single chest X-ray to predict the 10-year risk of death from a...
