{"id":"W4415819494","doi":"10.3390/jpm15110532","title":"Artificial Intelligence in Cardiac Electrophysiology: A Comprehensive Review","year":2025,"lang":"en","type":"review","venue":"Journal of Personalized Medicine","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada)","funders":"","keywords":"Atrial flutter; Clinical Practice; Deep learning; Atrial fibrillation; Narrative review; Cardiac electrophysiology; Applications of artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001142471,0.0007424477,0.000908878,0.002677766,0.0002748721,0.00163705,0.0006903898,0.001276414,0.003589047],"category_scores_gemma":[0.002872327,0.0002507934,0.0008913679,0.00273591,0.0006123057,0.001519534,0.0007686144,0.001421368,0.001062885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006507545,"about_ca_system_score_gemma":0.001949663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281371,"about_ca_topic_score_gemma":0.001482578,"domain_scores_codex":[0.9995483,0.0001225186,0.00008935572,0.00006417785,0.000146014,0.00002972821],"domain_scores_gemma":[0.9973221,0.002112034,0.0001757881,0.00004311127,0.0002892973,0.00005762618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000411441,0.00005083192,0.0005142005,0.0342218,0.0001781419,0.0001571646,0.0001542928,0.0008210525,0.0004438284,0.007309815,0.03078887,0.9253189],"study_design_scores_gemma":[0.00001630051,0.0001276281,0.00255106,0.03865634,0.0004278711,0.001748221,0.000183971,0.0006309489,0.0003800371,0.01060714,0.9446188,0.0000517031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001647876,0.9969299,0.0004737937,0.0008563702,0.0002321132,0.00000695117,0.00002548889,0.0000118215,0.001298827],"genre_scores_gemma":[0.001399463,0.9971672,0.0005005726,0.000331325,0.0003630421,0.00000931417,0.00003248117,0.000002987354,0.0001936845],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003589047,"threshold_uncertainty_score":0.01200652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08345179510726768,"score_gpt":0.434442039151718,"score_spread":0.3509902440444503,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}