AI-Assisted Cardiovascular Risk Assessment by General Practitioners in Resource-Constrained Indonesian Settings Using a Conceptual Prototype: Randomized Controlled Study.

ABSTRACT:

Background

Preventive strategies integrated with digital health and artificial intelligence (AI) have significant potential to mitigate the global burden of atherosclerotic cardiovascular disease (ASCVD). AI-enabled clinical decision support (CDS) systems increasingly provide patient-specific insights beyond traditional risk factors. Despite these advances, their capacity to enhance clinical decision-making in resource-constrained settings remains largely unexplored.

Objective

We conducted a randomized controlled study to assess the effect of AI-based CDS on 10-year ASCVD risk assessment and management in primary prevention.

Methods

In a 3-way, within-subject randomized design, doctors completed 9 clinical vignettes representative of primary care presentations in a re

SUBMITTER: Susanto AP 

PROVIDER: S-EPMC12646556 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature