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...
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...
The Institute for Augmented Intelligence in Medicine (I.AIM) at Northwestern University Feinberg School of Medicine has established the Center for Collaborative AI in Healthcare, which aims to advance...
The University of North Carolina at Chapel Hill (UNC-Chapel Hill), through the Eshelman Institute for Innovation, announced a collaboration with Amazon Web Services (AWS) to support the creation of...
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...
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 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 the University of Southern California (USC) Information Sciences Institute (ISI) announced the launch of the Center on Artificial Intelligence Research for Health (AI4Health), a...
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...
Hartford HealthCare announced a long-term partnership with Google Cloud to advance the health system’s digital transformation, improve data analytics, and enhance care delivery and...
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...
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...
The University of Maryland Strategic Partnership: MPowering the State (MPower), a research and innovation collaboration between the University of Maryland, Baltimore (UMB) and the University of...
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...
Researchers from New York University’s Machine Learning for Good Laboratory (ML4G Lab), Carnegie Mellon University, and the New York City Department of Health and Mental Hygiene (NYC DOHMH) have...
Mayo Clinic and healthcare diagnostics company Numares Health announced an expansion of their partnership focused on developing artificial intelligence (AI)-enabled diagnostic testing for patients with...
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 in JAMA Network Open last week described how a machine-learning (ML) tool accurately identified a set of biomarkers for neonatal opioid withdrawal syndrome (NOWS) using newborn...
