A preliminary evaluation of AFibrisk: digital decision-support platform for atrial fibrillation risk assessment after cryptogenic stroke-a cross-sectional concordance study.

ABSTRACT:

Objectives

Identifying patients at high risk for atrial fibrillation (AF) after cryptogenic stroke remains a challenge, particularly in settings with limited access to long-term cardiac monitoring. The AFibrisk platform, a free digital decision-support tool, integrates 19 validated AF prediction scores to support post-stroke triage. We aimed to assess the concordance of AFibrisk-supported classification decisions with expert electrophysiologist consensus and compare performance across evaluator groups with different levels of clinical experience.

Materials and methods

A prospective, cross-sectional concordance study was conducted using 29 standardized clinical vignettes. Evaluators-3 vascular neurologists, 4 cardiology residents, and 11 neurology residents-classified each ca

SUBMITTER: Clares de Andrade JB 

PROVIDER: S-EPMC12924629 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature