Ontology highlight
ABSTRACT: Introduction
Effective secondary prevention of coronary heart disease (CHD) is often hindered by limited healthcare resources and poor patient adherence. We therefore developed an artificial intelligence (AI)-enhanced CHD management platform (AIM-CHD) that (i) automatically captures follow-up data through AI-driven voice calls, optical character recognition of laboratory reports and wearable sensor streams; (ii) enables closed-loop, automated risk factor management; and (iii) dynamically personalises follow-up intensity via continuously updated risk stratification and achievement of treatment targets. This trial aims to evaluate whether AIM-CHD improves risk factor control and reduces cardiovascular events compared with usual care.Methods and analysis
In this prospective, s
SUBMITTER: Ba Z
PROVIDER: S-EPMC12434780 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature