{"id":"W4415792254","doi":"10.1161/circ.152.suppl_3.4370574","title":"Abstract 4370574: Artificial Intelligence-Enabled Electrocardiography Demonstrates Strong Diagnostic Performance for Diastolic Dysfunction, Heart Failure with Preserved Ejection Fraction, and Left Atrial Enlargement: A Meta-Analysis","year":2025,"lang":"en","type":"article","venue":"Circulation","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Receiver operating characteristic; Heart failure; Ejection fraction; Diastole; Electrocardiography; Heart failure with preserved ejection fraction; Meta-analysis; Diagnostic accuracy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004527729,0.0002112004,0.0006669005,0.000792632,0.0003805879,0.0001140072,0.0000423246,0.000123093,0.00008135388],"category_scores_gemma":[0.000223556,0.0001766926,0.0008135016,0.001354644,0.00004742962,0.0003028851,0.000009137239,0.0001882806,0.000003974712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007627502,"about_ca_system_score_gemma":0.00007209411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001159948,"about_ca_topic_score_gemma":0.00009368383,"domain_scores_codex":[0.9985176,0.00005983748,0.0004471203,0.0004506921,0.0002682122,0.0002565177],"domain_scores_gemma":[0.9987752,0.0003471233,0.0001738547,0.000264186,0.0003628229,0.0000768122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002501961,0.00007633088,0.9062393,0.0001481807,0.04592896,6.809747e-7,0.00003552868,0.04481164,0.001167999,0.00009274179,0.00007612936,0.001172345],"study_design_scores_gemma":[0.0005062853,0.0001834307,0.7497526,0.00004121777,0.1855448,0.00000456055,0.0004827437,0.05834699,0.004074012,0.0004982865,0.000313807,0.0002512543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7794515,0.0008230767,0.2181791,0.0005481642,0.00009763215,0.0007118604,0.000007163983,0.00008947653,0.00009203446],"genre_scores_gemma":[0.9983631,0.00006736768,0.0009591737,0.00002325762,0.0002963448,0.00007888288,0.0001603082,0.0000149156,0.00003668984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2189116,"threshold_uncertainty_score":0.7205316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232386969899084,"score_gpt":0.2824774965595374,"score_spread":0.2501536268605465,"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."}}