A team of Yale University researchers has developed a machine learning (ML)-based clinical decision support tool to personalize recommendations for pursuing intensive or standard blood pressure...
A research team from the University of Pittsburgh (Pitt) Swanson School of Engineering has been awarded a $1.7 million National Institutes of Health grant to develop a federated learning (FL)-based...
A new report by Frost & Sullivan, commissioned by Innovaccer, has found links between US health system digital maturity and performance across several digital transformation metrics, including the...
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...
The University of Miami announced that it has received grants for multiple projects aimed at addressing health disparities through the use of artificial intelligence (AI) and machine learning (ML) as...
A study published in JAMA Network Open found that researchers must improve the randomized clinical trials (RCTs) to test machine-learning (ML) algorithms by making the trials more inclusive and...
Researchers from Weill Cornell Medicine, NewYork-Presbyterian, the University of Chicago, Brigham and Women’s Hospital, and Mayo Clinic have created a machine learning (ML)-based screening tool...
A study published last month in Nature Metabolism shows that a machine learning (ML)-based computational platform can identify specific metabolic targets in ovarian cancer, which could be used in...
Researchers from the Massachusetts Institute of Technology (MIT) have developed a machine-learning (ML) tool capable of identifying new patterns of health decline in neurodegenerative diseases such as...
Researchers at the University of California, Los Angeles (UCLA) Health have developed an artificial intelligence (AI)-based tool that can identify people who inject drugs using EHR data faster and more...
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...
A study published in Lancet Digital Health found that a machine-learning algorithm identified the differences between multisystem inflammatory syndrome in children (MIS-C) and Kawasaki Disease (KD),...
With financial support from the National Institutes of Health (NIH) and the Department of Health and Human Services (HHS), Eko aims to create a machine-learning algorithm for cardiovascular care that...
Healthcare organizations are continually looking for ways to improve efficiency and optimize workflows without burdening staff or patients. However, with staffing and resource shortages plaguing health systems since the beginning of the...
Published in the Proceedings of the National Academy of Sciences of the United States of America (PNAS), new research findings from the University of Minnesota indicate that the use of data science...
Harvard Medical School (HMS) and Stanford University researchers have developed an artificial intelligence (AI) tool that can detect disease within chest radiographs using natural language processing...
A new study published in JAMA Network Open last week shows that machine-learning (ML) models developed using a crowdsourcing approach can improve efforts to quantify radiographic joint damage in...
A special report published in Radiology: Artificial Intelligence last week highlighted the practices that can lead to bias in artificial intelligence (AI) and machine-learning (ML) models increasingly...
New research shows that machine-learning (ML) tools can use perioperative data to accurately predict post-operative complications and surgery duration.
Surgery and its potential complications create...
