{"id":"W4211049894","doi":"10.1136/heartjnl-2021-319725","title":"Artificial intelligence for the echocardiographic assessment of valvular heart disease","year":2022,"lang":"en","type":"review","venue":"Heart","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University Health Network; University of Toronto","funders":"","keywords":"Medicine; valvular heart disease; Disease; Cardiology; Internal medicine; Mitral valve; Aortic valve; Heart disease; Radiology","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":[0.001144649,0.001099121,0.001632536,0.003692256,0.0002377091,0.001300313,0.0008982671,0.001553825,0.004109701],"category_scores_gemma":[0.002148828,0.000314127,0.001173239,0.002957623,0.0008489916,0.001436971,0.0008817779,0.002996696,0.002214927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008761841,"about_ca_system_score_gemma":0.001121167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418389,"about_ca_topic_score_gemma":0.001775961,"domain_scores_codex":[0.9994122,0.0001891749,0.00008694675,0.00007232757,0.0002078449,0.00003142631],"domain_scores_gemma":[0.9988741,0.0007910018,0.00009836054,0.00003453709,0.0001657162,0.00003616902],"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":[0.00005853099,0.00006965963,0.0002372367,0.0241791,0.0003215793,0.0001570837,0.0000622685,0.0007438805,0.0006042563,0.008976836,0.02496839,0.9396213],"study_design_scores_gemma":[0.00003772588,0.0001377027,0.0019901,0.01654159,0.0003960762,0.001718566,0.00007967316,0.0005815784,0.0004707574,0.01401413,0.9639747,0.00005736394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006358402,0.9980141,0.0003293366,0.0003375098,0.0002103274,0.00000691993,0.0000152488,0.000008314161,0.00101469],"genre_scores_gemma":[0.001068997,0.9974701,0.0005299011,0.0002903212,0.0001893822,0.00001265676,0.00003250272,0.000002595187,0.0004036405],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004109701,"threshold_uncertainty_score":0.01374835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121437666032266,"score_gpt":0.4779590478565598,"score_spread":0.3565213818242938,"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."}}