The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

ACUTE ischemic stroke outcome prediction may be improved by a reasoning enhanced large language model that can extract ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Autism in infants may soon be detected via wearable sensors. Researchers are testing motor biomarkers to allow for diagnosis ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

UCLA Health researchers are seeking to develop a new wearable technology to catch one of the earliest but often overlooked signs of autism and other developmental conditions in infants. The study is ...

UCLA Health researchers are seeking to develop a new wearable technology to catch one of the earliest but often overlooked ...

Researchers are testing wearable sensors on infants to detect early motor signs of autism, aiming to improve intervention ...

Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...