{"id":"W4411169797","doi":"10.1016/j.hfc.2025.01.015","title":"Artificial Intelligence in Nuclear Cardiology","year":2025,"lang":"en","type":"review","venue":"Heart Failure Clinics","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Pfizer","keywords":"Medicine; Artificial intelligence; Terminology; Clinical cardiology; Risk stratification; Machine learning; Deep learning; Medical physics; Computer science; Cardiology","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":[0.001167488,0.001036556,0.002130603,0.002978871,0.0002829026,0.001960649,0.0008973522,0.001876514,0.007369784],"category_scores_gemma":[0.002811665,0.0004065487,0.0008180724,0.003092194,0.0009365973,0.002000682,0.001211219,0.002573302,0.002655646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007850661,"about_ca_system_score_gemma":0.001793567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917886,"about_ca_topic_score_gemma":0.003565006,"domain_scores_codex":[0.9996309,0.0001008395,0.0000739127,0.00005437023,0.0001073736,0.00003258792],"domain_scores_gemma":[0.9985607,0.0009427347,0.000180223,0.0000391555,0.000201938,0.00007527573],"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":[0.00006274446,0.00006124839,0.0001352913,0.02514724,0.00020501,0.00009806076,0.00004241148,0.0004374494,0.0003458718,0.003053559,0.04442465,0.9259865],"study_design_scores_gemma":[0.0001166473,0.0001952678,0.001543094,0.02910037,0.0006820048,0.001043961,0.00007516085,0.0005307757,0.000276674,0.007082466,0.9593037,0.00004987606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000486448,0.9981495,0.000168344,0.0003397944,0.0003301836,0.000004971773,0.00001302096,0.000008111558,0.0009373553],"genre_scores_gemma":[0.0007076576,0.997056,0.0003284696,0.0006898725,0.0005250659,0.000007992775,0.00003020665,0.000002515835,0.000652255],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007369784,"threshold_uncertainty_score":0.02465439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05948615769047287,"score_gpt":0.4051177992681827,"score_spread":0.3456316415777098,"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."}}