Prospective single-arm study outlines smartwatch biometric and AI integration in 897 participants, aiming to enhance continuous cardiovascular risk prediction.
Key Points
To outline the design of a prospective study evaluating whether consumer smartwatch biometrics and artificial intelligence can identify cardiometabolic conditions and predict incident cardiovascular events.
Prospective, single-arm wearable study enrolling 897 participants in person or remotely starting October 10, 2024.
Data are captured via continuous smartwatch monitoring, a companion mobile application, and electronic medical record (EMR) extractions.
Participants are followed for 12 months with ongoing outcome adjudication using EMR reviews and app-based surveys.
Establishes a framework to evaluate whether consumer-grade wearables can provide clinically validated signals for detecting occult cardiovascular disease.
Details analytical strategies using artificial intelligence to build biometric risk profiles for proactive cardiovascular risk mitigation.