A preliminary evaluation of AFibrisk: digital decision-support platform for atrial fibrillation risk assessment after cryptogenic stroke—a cross-sectional concordance study
Year: 2026
Type: article
Study design: Observational 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 case as high or low AF risk using AFibrisk outputs. Expert consensus served as the reference standard. Statistical analyses included inter-group comparisons, inter-rater reliability, and regression models adjusting for group size and response clustering. Results: = .0259). Neurology residents showed the greatest intra-group consistency (Light's κ = 0.607), despite lower accuracy. Classification errors differed by experience: residents tended to overestimate risk, while experts showed occasional underestimation. Overall, 30.1% of responses were "not classified," with the highest uncertainty among vascular neurologists (43.8%). Discussion and Conclusion: AFibrisk improved alignment with expert judgment across evaluator groups and helped standardize decision-making. Our free platform may support AF risk stratification in low-resource environments and reinforce evidence-based heuristics among early-career clinicians, and it is available at www.afibrisk.net.
Source: JAMIA Open
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,762
OpenAlex ID: W7130834809
