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...
Researchers from the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) and Intel Labs have announced the results of a joint study that leveraged federated learning (FL) to...
With the goal of identifying a more efficient method of deciphering clinical notes, researchers from MIT described how a deep-learning model helped clean up her data, leading to information extraction...
Researchers from the University of Texas at Austin’s Dell Medical School have developed an artificial intelligence (AI) clinical decision support tool designed to help clinicians discuss...
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...
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...
Researchers from Yale School of Medicine have identified biomarkers of attention-deficit/hyperactivity disorder (ADHD) using MRI exams and showcased the potential role of machine learning (ML)-based...
Researchers from Emory University and University Hospitals (UH) Cleveland have developed a deep learning (DL)-based liver fat assessment tool which shows that patients with nonalcoholic fatty liver...
Researchers from Johns Hopkins Kimmel Cancer Center have developed an artificial intelligence (AI)-based blood test that can detect liver cancer, based on a new study of 724 people.
The blood testing...
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...
Researchers from Missouri University of Science and Technology (Missouri S&T) and Saint Louis University’s (SLU) School of Medicine are collaborating to investigate how artificial...
A team of researchers led by the University of Minnesota is examining federated learning (FL) techniques to evaluate their utility for diagnosing COVID-19 based on chest radiograph data.
FL models, a...
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...
At HLTH 2022, Google Cloud announced three new Healthcare Data Engine (HDE) accelerators, created in collaboration with Hackensack Meridian Health, Lifepoint Health, and other organizations, to help...
Published in Nature Medicine, a study conducted by Mayo Clinic researchers describes how artificial intelligence (AI) can be used to assess electrocardiogram (ECG) recordings to detect heart failure...
A study published this month in BMC Medical Research Methodology outlines how to develop high-quality machine learning (ML)-based models for use in clinical research and medicine through the use of...
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...