After receiving a grant from the Leona M. and Harry B. Helmsley Charitable Trust, Oregon Health and Science University (OHSU) researchers developed an artificial intelligence (AI)-based app to evaluate...
Published in the American Association for Clinical Chemistry's The Journal of Applied Laboratory Medicine, recent research describes two analytics-based strategies that were effective in helping...
Researchers from the University of California, Berkeley have developed machine-learning (ML) software that uses entries in EHRs to shed light on long COVID, including finding common symptoms and...
A study published this week in Scientific Reports comparing hypertension incidence prediction models found little difference in performance between machine-learning (ML) models and conventional...
Led by a Michigan Medicine cardiologist, a recent study found that a novel method using machine learning and molecular profiling can be leveraged to create blood-based dietary signatures that can...
Rutgers University and medical technology company HeartSciences announced a multi-year collaboration agreement to develop artificial intelligence (AI)-based electrocardiogram (ECG) algorithms and...
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...
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...
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...
The Icahn School of Medicine at Mount Sinai has received a $55.5 million Clinical and Translational Science Award (CTSA) from the National Institutes of Health (NIH) National Center for Advancing...
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...
A study published in the American Journal of Obstetrics and Gynecology shows that a blood test, which leverages artificial intelligence (AI) and genetic biomarkers, can prenatally identify fetal...
Lung disease is a significant source of morbidity, mortality, and financial burden in the United States. However, those working to advance patient care and research in this area posit that many of the hurdles faced by patients, families,...
Developed by researchers at Tulane University and described in a study published in Nature Biomedical Engineering, a new blood testing system displayed the ability to enhance the pediatric tuberculosis...
The Novartis Foundation, Microsoft AI for Health, and the New York University (NYU) School of Global Public Health have partnered to launch the AI4HealthyCities Health Equity Network, an initiative to...
Public health and medical researchers from Indiana University (IU) have announced a partnership with the Regenstrief Institute to develop a population-based surveillance system to determine the...
A study published in JAMA Network Open last month found that a prediction model could accurately forecast health-related quality of life (HRQOL) among adult survivors of childhood cancer using...
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...
Researchers have developed an artificial intelligence (AI) model that detects the presence and severity of Parkinson’s disease (PD) using nocturnal breathing patterns, which occur while a patient...
New research published in BMJ Innovations last week shows that a machine-learning (ML) algorithm trained to analyze electrocardiogram readings can accurately predict pre-diabetes and type 2 diabetes in...
