Work

AI and Digital Health: Personalizing Physical Activity to Improve Population Health

Year: 2025

Type: editorial

Source: Circulation Cardiovascular Quality and Outcomes

DOI: 10.1161/circoutcomes.125.012416

Authors: Daniel Seung Kim, Fatima Rodriguez, Euan A. Ashley

Institutions: University of Washington, Stanford Medicine, Stanford University

Language: English

Topic: Physical Activity and Health

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: American Heart Association, National Heart, Lung, and Blood Institute

Awards: Implementation of a Trained Spanish-Fluent Language Model to Improve Physical Activity in the Hispanic/Latinx Population, G3966814170, Novel Incidental Calcium Evaluation (NICE), Adherence Determinants in the Health Electronic Record Evaluation of Statins (ADHERES), Opportunistic Atherosclerotic Cardiovascular Disease Risk Estimation at Abdominal CTs with Robust and Unbiased Deep Learning

OpenAlex ID: W4413051366

Cites: 8

Cited by: 8

Related to: 10