People often take walking for granted. We just move, one step after another, without ever thinking about what it takes to ...

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.

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

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

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 ...

CHARTwatch, a machine learning model, shows promise in reducing patient mortality and improving outcomes in hospital settings, according to new CMAJ study. Study: Clinical evaluation of a machine ...

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 ...