{"id":"W4392503039","doi":"10.1016/j.jcmg.2024.01.006","title":"AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging","year":2024,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); University of Calgary","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health; British Heart Foundation; Wellcome Trust","keywords":"Medicine; Cardiology; Ventricle; Internal medicine; Myocardial perfusion imaging; Myocardial infarction; Coronary artery disease; Perfusion; Quartile; Radiology; Nuclear medicine; Confidence interval","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":[0.001549957,0.0003948846,0.0009660075,0.0004839542,0.0001685349,0.0002416015,0.0001488603,0.00004657343,0.00002529943],"category_scores_gemma":[0.0006025824,0.0003775979,0.002401208,0.0005704561,0.0001754116,0.0004115964,0.0001220549,0.0005957842,0.00006743446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890278,"about_ca_system_score_gemma":0.0003191672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005836421,"about_ca_topic_score_gemma":6.350034e-7,"domain_scores_codex":[0.9968898,0.0002154265,0.0006048267,0.0008404843,0.0009407017,0.0005087945],"domain_scores_gemma":[0.9976687,0.0002633173,0.0001088447,0.001320728,0.0004304177,0.0002079436],"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":[0.00007573357,0.0001300669,0.1348874,0.001229874,0.003051738,0.001008993,0.0006398113,0.0005446521,0.04254689,0.0005776525,0.01955295,0.7957543],"study_design_scores_gemma":[0.005798169,0.0001402264,0.3208459,0.003495752,0.02369789,0.002787387,0.002675096,0.1234933,0.1898037,0.00216771,0.3223834,0.002711491],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5261089,0.3775281,0.06806099,0.004727154,0.005522036,0.002182929,0.0003569647,0.001618033,0.01389491],"genre_scores_gemma":[0.9954936,0.001478596,0.001621141,0.0001946282,0.0007823882,0.00005006167,0.0001809828,0.0001157797,0.00008280846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7930428,"threshold_uncertainty_score":0.9998676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005410454957048722,"score_gpt":0.2508868190848929,"score_spread":0.2454763641278441,"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."}}