{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9(1)"],"submitter":["Clares de Andrade JB"],"pubmed_abstract":["<h4>Objectives</h4>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.<h4>Materials and methods</h4>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"],"journal":["JAMIA open"],"pagination":["ooag001"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12924629"],"repository":["biostudies-literature"],"pubmed_title":["A preliminary evaluation of AFibrisk: digital decision-support platform for atrial fibrillation risk assessment after cryptogenic stroke-a cross-sectional concordance study."],"pmcid":["PMC12924629"],"pubmed_authors":["Clares de Andrade JB","Gomes RP","Mendes GNN","Fagundes TP","Robles AC"],"additional_accession":[]},"is_claimable":false,"name":"A preliminary evaluation of AFibrisk: digital decision-support platform for atrial fibrillation risk assessment after cryptogenic stroke-a cross-sectional concordance study.","description":"<h4>Objectives</h4>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.<h4>Materials and methods</h4>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","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Feb","modification":"2026-07-16T17:46:43.209Z","creation":"2026-07-09T11:10:12.987Z"},"accession":"S-EPMC12924629","cross_references":{"pubmed":["41727413"],"doi":["10.1093/jamiaopen/ooag001"]}}