{"id":"W4385715540","doi":"10.1002/ejhf.2994","title":"Artificial Intelligence and Heart Failure: A State-of-the-Art Review","year":2023,"lang":"en","type":"review","venue":"European Journal of Heart Failure","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University; Impact","funders":"Cytokinetics; Sanofi; AstraZeneca; Pfizer; Amgen","keywords":"Heart failure; Medicine; Subclinical infection; Ejection fraction; Intensive care medicine; Disease; Risk stratification; Artificial intelligence; Machine learning; Computer science; Internal medicine","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":[0.001048117,0.001107954,0.001800245,0.002959233,0.0003461226,0.001955729,0.0009446357,0.0017165,0.004650598],"category_scores_gemma":[0.002545058,0.0003615992,0.0009231956,0.003810975,0.0006699944,0.001930119,0.0009255537,0.002052108,0.001781607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007017503,"about_ca_system_score_gemma":0.001980339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416569,"about_ca_topic_score_gemma":0.001676631,"domain_scores_codex":[0.9995345,0.0001121087,0.00008644879,0.00006392987,0.000169178,0.00003379078],"domain_scores_gemma":[0.9976056,0.00187035,0.0001370176,0.00003793415,0.0002834694,0.00006565431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004645927,0.00006965548,0.0002388666,0.02951751,0.0001596283,0.000104638,0.00009026743,0.0004821948,0.0003124753,0.004324494,0.02551583,0.939138],"study_design_scores_gemma":[0.00002227876,0.0001231853,0.001537606,0.02307975,0.0003603774,0.001013547,0.0001221755,0.0003712186,0.0002357857,0.006522093,0.966565,0.00004700339],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006441419,0.9985805,0.0001355102,0.0003771682,0.0001876677,0.000004660869,0.0000119492,0.000006608888,0.0006316167],"genre_scores_gemma":[0.0004248357,0.9988917,0.0001757488,0.0001441309,0.0002058603,0.000005442739,0.00001638708,0.000001456107,0.0001344367],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004650598,"threshold_uncertainty_score":0.01555777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07638021989989877,"score_gpt":0.3351048306592848,"score_spread":0.258724610759386,"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."}}