{"id":"W4400844658","doi":"10.1016/j.cjca.2024.07.014","title":"Use of Artificial Intelligence Including Multimodal Systems to Improve the Management of Cardiovascular Disease","year":2024,"lang":"en","type":"review","venue":"Canadian Journal of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multimodality; Medicine; Workflow; Disease; Modality (human–computer interaction); Field (mathematics); Artificial intelligence; Applications of artificial intelligence; Data science; Computer science; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001197363,0.0007920318,0.001094166,0.003192518,0.0003118657,0.001346382,0.0008447233,0.001345625,0.00241883],"category_scores_gemma":[0.001834185,0.0002255688,0.0006695396,0.001966312,0.0009208635,0.001464064,0.0009840516,0.00216671,0.0007992606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108177,"about_ca_system_score_gemma":0.001707292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002850025,"about_ca_topic_score_gemma":0.003952588,"domain_scores_codex":[0.9994969,0.0001480794,0.00005856482,0.00006313674,0.0002011273,0.00003205246],"domain_scores_gemma":[0.9989164,0.0007249421,0.0000846831,0.00002641964,0.0002004792,0.00004710201],"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":[0.00003098765,0.00006350799,0.0002532238,0.01406592,0.0001523848,0.0001721128,0.0001327159,0.0004796727,0.0007504152,0.009678633,0.01334766,0.9608728],"study_design_scores_gemma":[0.00001939199,0.0001364884,0.002116998,0.01109562,0.0002094694,0.001805771,0.0001618654,0.0004214673,0.0005874861,0.008955087,0.9744375,0.00005279273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001027579,0.9975375,0.0003077027,0.0005402233,0.0001384529,0.000007197861,0.000007596796,0.0000069374,0.001351657],"genre_scores_gemma":[0.00112069,0.9976771,0.0004729306,0.0002582503,0.0002036191,0.000008656133,0.00001298232,0.000001635375,0.0002441312],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003192518,"threshold_uncertainty_score":0.008091748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008058024903256,"score_gpt":0.3385828782200965,"score_spread":0.2377770757297709,"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."}}