Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

Imaging data accounts for about 90% of all healthcare data, according to one study, and the number of images continues to grow, increasing the workload for radiologists.

LAS VEGAS—The Coalition for Health AI (CHAI) unveiled the first applied model card, completed by AI imaging company Aidoc. CHAI announced the completion of its draft model card template Oct. 18.

AI, machine learning top health CIO priorities in 2023, survey finds Artificial intelligence and virtual care technologies are increasingly being adopted by hospitals to ease resource strain, but ...

Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning algorithms. Image Credit: Sergey Tarasov / Shutterstock In a recent study published in the ...

High-throughput robotic collection, imaging, and machine learning analysis of salt patterns: composition and concentration from dried droplet photos. Digital Discovery, 2025; DOI: 10.1039/D4DD00333K ...

The optimized machine learning model successfully predicted substantial gain on the BrainHealth Index with 90% accuracy, confirming a functional relationship between the Index and the neural ...