{"id":"W4405443506","doi":"10.4103/regenmed.regenmed-d-24-00013","title":"The application of artificial intelligence in tissue repair and regenerative medicine related to pediatric and congenital heart surgery: a narrative review","year":2024,"lang":"en","type":"review","venue":"Regenerative medicine reports .","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Transformative learning; Regenerative medicine; Medicine; Narrative review; Artificial intelligence; Medical physics; Computer science; Psychology; Intensive care medicine; Developmental psychology","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":[0.0009925526,0.0007286112,0.001352485,0.004083748,0.0003361295,0.001624094,0.0007460304,0.001272584,0.004397173],"category_scores_gemma":[0.00304266,0.0002704518,0.0009867962,0.003806991,0.0005469572,0.001532205,0.00080945,0.001301589,0.001183093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006568923,"about_ca_system_score_gemma":0.002512519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015299,"about_ca_topic_score_gemma":0.002517946,"domain_scores_codex":[0.9995708,0.00009126365,0.0001064685,0.00006223046,0.000142352,0.00002677418],"domain_scores_gemma":[0.9978682,0.0016132,0.000207486,0.00003435914,0.0002266147,0.00005021022],"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":[0.00005032235,0.00005262854,0.0002930815,0.1012358,0.0002326225,0.0002239252,0.0001937837,0.0004054281,0.0005859598,0.005569554,0.02251001,0.868647],"study_design_scores_gemma":[0.00001573914,0.0001036037,0.001478125,0.0624622,0.0005962738,0.00193702,0.000219679,0.0001786366,0.0003469486,0.003732406,0.9288923,0.00003704535],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009063967,0.9985868,0.0001067261,0.000300307,0.0001225406,0.000007330364,0.0000208826,0.000004421,0.0007603946],"genre_scores_gemma":[0.0005260138,0.9989018,0.0001523746,0.0001592858,0.00008152409,0.000007101904,0.00002015639,0.000001116142,0.0001505323],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004397173,"threshold_uncertainty_score":0.01471007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421089116805343,"score_gpt":0.4752723601228142,"score_spread":0.3331634484422799,"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."}}