Researchers from Weill Cornell Medicine using machine learning (ML)-based analysis of electronic health record (EHR) data found that long COVID risk and symptoms present differently across diverse...
A recent study by Yale University researchers detailed the creation of a machine-learning model that can assist researchers in determining physician turnover, enabling healthcare organizations to...
Published in JAMA Network Open, a recent study described the development and accuracy of a risk score tool that predicts individual dementia risk, providing clinical teams with guidance on timely...
A recent study published in the American Journal of Managed Care found that identifying high-cost members was made easier through the implementation of artificial intelligence (AI) and the analysis of...
A study published in JAMA Network Open concluded that a newly developed symptom-based screening tool could detect asthma risk levels among pediatric patients as well as persistent wheezing symptoms and...
Following the receipt of a $599,883 grant from the National Science Foundation (NSF), Penn State researchers plan to create artificial intelligence (AI)-based machine learning (ML) algorithms that can...
Researchers from the Perelman School of Medicine at the University of Pennsylvania and the University of Florida College of Medicine are creating a set of artificial intelligence (AI) algorithms to...
To meet the varied healthcare needs of pregnant women, Mayo Clinic researchers created an artificial intelligence (AI)-based risk prediction model that uses labor characteristics to indicate potential...
A new study published in the Journal of Medical Internet Research shows that machine-learning (ML) models can effectively predict the risk of postpartum hemorrhage using data pulled from de-identified...
A new study published in JAMA Network Open assesses an artificial intelligence (AI) tool that can predict the likelihood of patients developing sepsis and the severity of the infection as quickly as 12...
A new study published in JAMA Network Open earlier this month showed that personalized artificial intelligence (AI) models for acute kidney injury (AKI) risk prediction, which use common EHR variables,...
A new study published this week in JAMA Network Open shows that a recently developed risk prediction model can identify term neonates at risk of perinatal arterial ischemic stroke (PAIS) using common...
A new study published in the Journal of Medical Internet Research earlier this month showed that clinical risk prediction models for sepsis, delirium, and acute kidney injury (AKI) achieve high...
Researchers found that suicide risk predictions for adult patients significantly improve when using an approach that combines in-person screening with an EHR-based machine-learning (ML) model.
The...
While researching the correlation between COVID-19 and health outcomes, a study published in Scientific Reports used risk models to discover that vital signs, lab results, and age are factors that...
Researchers from the National Institutes of Health Clinical Center developed a new artificial intelligence (AI) model that analyzed various factors relating to pancreas health and fat levels using...
Surgeons from the University of Texas MD Anderson Cancer Center in Houston have developed machine-learning models that can calculate risks for hernia recurrence and other complications.
A study that...
To help improve heart transplants, investigators from Brigham and Women’s Hospital created an artificial intelligence (AI) system known as the Cardiac Rejection Assessment Neural Estimator...
As health insurers and providers increasingly turn to machine-learning algorithms to enhance care, there is a growing concern among experts regarding equity, fairness, and bias in how the technology is...
Increasingly, researchers are looking for ways to implement artificial intelligence into medical imaging.
There are several different cases for why a patient might need medical imaging. Whether it’s for a cardiac event, fracture,...
