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...
A new study published in PLOS ONE leveraged machine learning (ML) models to identify the most accurate means and timelines for anticipating the advancement of Alzheimer’s disease in people who...
Researchers from the University of California, San Diego (UC San Diego) and New Light Technologies Inc. (NLT) announced a partnership to develop an infectious disease risk platform designed to serve as...
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...
To help determine patient response to cancer immunotherapy, researchers at the Johns Hopkins Kimmel Comprehensive Cancer Center and its Bloomberg-Kimmel Institute for Cancer Immunotherapy trained a...
Researchers from The Feinstein Institutes for Medical Research, the research arm of Northwell Health, have developed an artificial intelligence (AI)-based clinical decision support tool that can...
In a new study published last week in JAMA Network Open, researchers found that a suite of predictive analytics tools leveraging readily available EHR data can accurately identify all-cause 30-day...
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...
Researchers at the University of California, Irvine (UCI) and the University of California, Los Angeles (UCLA) have received a $1 million grant from the National Science Foundation (NSF) to develop an...
Maryland-based MedStar Health and precision medicine technology company Zephyr AI, Inc., have announced a partnership focused on developing artificial intelligence (AI)-enabled precision medicine tools...
A new study published in JAMA Network Open found that adding continuous intraoperative data to routinely collected perioperative data used by machine learning (ML)-based mortality prediction models...
A new study published this month in JAMA Network Open found that an automated natural language processing (NLP) tool relying on clinical notes and EHR data achieved similar predictive performance to a...
Effective treatments that lead to improved patient outcomes are what clinicians strive to provide for their patients across healthcare settings and specialties. But there may be many hurdles to treatment success depending on the condition,...
Researchers in the Division of Artificial Intelligence in Medicine at Cedars-Sinai have developed artificial intelligence (AI) models that improve quality and accuracy in heart imaging, predicting...
A research team from University of Florida (UF) Health and the University of Pennsylvania Perelman School of Medicine (Penn Medicine) have announced that they will develop a set of predictive analytics...
A new study published last week in PLOS Digital Health shows that an artificial intelligence (AI)-based predictive analytics tool can accurately forecast patient risk for deterioration and other...
Cleveland Clinic and IBM announced that the deployment of the first healthcare quantum computer in the US has begun on the health system’s main campus, a key component of the two...
A new study published in BMJ Health & Care Informatics shows that machine-learning (ML) models can accurately predict autism spectrum disorder (ASD) risk in children 18 to 30 months old using...
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...
New Jersey-based Hackensack Meridian Health is set to implement Google Cloud’s newly released Medical Imaging Suite to de-identify petabytes of images to enhance the health system’s...
