Motion data is well known for improving athletic performance and rehab. Thanks to AI, it’s also turning motion into another ...

Researchers say the study indicates the ability to bring the power of AI and patient-reported outcomes directly into the clinic seamlessly, affordably, and at scale.

A machine learning algorithm used gene expression profiles of patients with gout to predict flares.

The adoption of machine learning approaches in systematic reviews is fundamentally transforming evidence-based medicine. Traditionally, systematic reviews have involved painstaking manual screening of ...

The journal Pituitary has highlighted research led by Manel Puig, head of the Endocrine, Thyroid and Obesity Research Group ...

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

The Coalition for Health AI (CHAI) has certified its first partnership for AI model validation after a 16-month effort to get a nationwide network of artificial intellgience assurance labs up and ...

SNS Insider research highlights a robust 29.37% CAGR from 2024 to 2032, fueled by breakthroughs in AI-driven drug discovery, genomics, and predictive analytics transforming personalized ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...