{"id":"W4415421162","doi":"10.1186/s12933-025-02946-8","title":"AI-quantified epicardial adipose tissue and prediction of future myocardial infarction in patients with cardiometabolic disease: a post-hoc analysis from the SCOT-HEART trial","year":2025,"lang":"en","type":"article","venue":"Cardiovascular Diabetology","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Heart, Lung, and Blood Institute; Cedars-Sinai Medical Center; Dr. Miriam and Sheldon G. Adelson Medical Research Foundation; British Heart Foundation; Israel Cancer Research Fund","keywords":"Angiology; Myocardial infarction; Epicardial adipose tissue; Epicardial fat; Adipose tissue; Diabetes mellitus","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006989296,0.0003527043,0.002195059,0.0006728934,0.0001387947,0.00003742005,0.0001534278,0.00032209,0.00001190156],"category_scores_gemma":[0.0002039068,0.0002664458,0.002918063,0.00188293,0.0003249907,0.0001440051,0.0001291438,0.0004399711,0.000002861437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006360767,"about_ca_system_score_gemma":0.0002618759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003048668,"about_ca_topic_score_gemma":0.00002684585,"domain_scores_codex":[0.9964988,0.0009924857,0.0005401813,0.0008288529,0.0007305914,0.0004090777],"domain_scores_gemma":[0.9976523,0.0001655401,0.00009504783,0.001522904,0.0003259259,0.0002383116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03023488,0.0002769687,0.8689684,0.0001014101,0.08097046,0.00003162805,0.0001144647,0.0005978977,0.0001091407,0.0001016923,0.0001860845,0.01830697],"study_design_scores_gemma":[0.03464417,0.0002855335,0.9014696,0.00006292311,0.05294297,0.000003185177,0.00005108694,0.00004365548,0.00005709752,0.00002324598,0.01023454,0.0001820164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942661,0.0525759,0.0003846287,0.0008677053,0.000961585,0.00194829,0.0005005439,0.0000523092,0.00004802664],"genre_scores_gemma":[0.9968575,0.0005362402,0.00005259641,0.000476842,0.0008382318,0.0001556944,0.001044768,0.00002827259,0.000009881338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05419646,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004098355240696652,"score_gpt":0.2180199095103255,"score_spread":0.2139215542696289,"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."}}