{"id":"W4396846994","doi":"10.7759/cureus.60119","title":"Advancements in Artificial Intelligence for Precision Diagnosis and Treatment of Myocardial Infarction: A Comprehensive Review of Clinical Trials and Randomized Controlled Trials","year":2024,"lang":"en","type":"review","venue":"Cureus","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Randomized controlled trial; Myocardial infarction; Clinical trial; Medicine; Medical physics; Intensive care medicine; 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":[0.004886887,0.001248253,0.005767496,0.002889452,0.0002817984,0.001425741,0.001585047,0.001382818,0.005677481],"category_scores_gemma":[0.01148435,0.0004220273,0.004953111,0.00323313,0.0005168009,0.001100349,0.0007005936,0.002048449,0.000660653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035455,"about_ca_system_score_gemma":0.002252562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389947,"about_ca_topic_score_gemma":0.002891285,"domain_scores_codex":[0.9981506,0.0006974107,0.0004865898,0.0001896355,0.0004130773,0.00006255542],"domain_scores_gemma":[0.9905877,0.007771809,0.000799396,0.0001101259,0.0006286787,0.0001021845],"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":[0.001057385,0.0001160508,0.0003077615,0.2801878,0.004800123,0.00006155024,0.00005165699,0.000452816,0.000309515,0.001320227,0.0114293,0.6999058],"study_design_scores_gemma":[0.002921653,0.002361747,0.006759997,0.5085606,0.05877356,0.001068254,0.0001917141,0.001184121,0.0009091028,0.00613861,0.410963,0.0001677669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000716363,0.9994437,0.0000783155,0.0001585799,0.00005715381,0.00002175212,0.00003027544,0.000003696688,0.0001348576],"genre_scores_gemma":[0.001205005,0.9979945,0.0003312247,0.0002493698,0.00008917684,0.00004184683,0.00004037726,0.000002208885,0.00004617952],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005767496,"threshold_uncertainty_score":0.02584457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7426163844218272,"score_gpt":0.6568431051840641,"score_spread":0.08577327923776312,"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."}}