{"id":"W4382236809","doi":"10.4330/wjc.v15.i6.284","title":"Current role and future perspectives of artificial intelligence in echocardiography","year":2023,"lang":"en","type":"review","venue":"World Journal of Cardiology","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Interpretation (philosophy); Health care; Patient care; Field (mathematics); Automation; Intensive care medicine; Medical physics; Data science; Nursing; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001005758,0.0002730051,0.003644749,0.002341087,0.00002261122,0.000007643375,0.0001171225,0.0002206009,0.00001275638],"category_scores_gemma":[0.00009785653,0.0001887903,0.003056442,0.001247009,0.0001960259,0.00003293978,0.0000522457,0.001151894,0.000005884173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009554899,"about_ca_system_score_gemma":0.0002623692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003375684,"about_ca_topic_score_gemma":0.000005704901,"domain_scores_codex":[0.9977301,0.0004416585,0.001069317,0.0002528203,0.0003002974,0.0002057894],"domain_scores_gemma":[0.9986891,0.0001797621,0.0005290009,0.0002593732,0.0002156985,0.000127087],"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":[0.00007056621,0.0000198271,0.001423329,0.001972157,0.00200443,0.000150394,0.0001751702,0.00001657084,4.060902e-7,0.0002949965,0.0002105458,0.9936616],"study_design_scores_gemma":[0.0001515208,0.0001483833,0.002896863,0.004018094,0.002450171,0.001188226,0.001473829,0.000001198509,5.899112e-7,0.0002100012,0.9873128,0.0001483175],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009540257,0.9970579,0.0003142463,0.00005030532,0.001880455,0.0002848975,0.00001292599,0.00001068087,0.0002932211],"genre_scores_gemma":[0.0007119854,0.995743,0.00006403777,0.000003665455,0.003417053,0.000006141554,0.000006856336,0.000032006,0.00001519614],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9935133,"threshold_uncertainty_score":0.7698644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03858923157316353,"score_gpt":0.3431359222907222,"score_spread":0.3045466907175587,"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."}}