{"id":"W3024513077","doi":"10.1002/mp.13562","title":"Artificial intelligence‐based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance","year":2020,"lang":"en","type":"review","venue":"Medical Physics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Clinical decision support system; Quality assurance; Computer science; Project commissioning; Quality (philosophy); Process (computing); Safety assurance; Patient safety; Risk analysis (engineering); Decision support system; Health care; Artificial intelligence; Medicine; Engineering; Operations management; Publishing","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":[0.1122023,0.001037694,0.001426945,0.003467155,0.001207079,0.009107119,0.004014329,0.003933271,0.003265273],"category_scores_gemma":[0.2768645,0.0007999947,0.00108855,0.002895389,0.005587418,0.006965841,0.004653071,0.005499726,0.001266124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003985061,"about_ca_system_score_gemma":0.009404892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002877565,"about_ca_topic_score_gemma":0.001712204,"domain_scores_codex":[0.8782028,0.07337327,0.006892151,0.003820132,0.0359403,0.001771378],"domain_scores_gemma":[0.6306167,0.2541116,0.02906496,0.01921195,0.06215955,0.004835186],"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":[0.0008693175,0.0009681979,0.03381756,0.003080491,0.0003533004,0.0004117251,0.003793773,0.03335261,0.004913636,0.05626024,0.01802982,0.8441492],"study_design_scores_gemma":[0.0006828043,0.003115632,0.03942669,0.009338446,0.0006310846,0.00186243,0.003329714,0.4533493,0.03825117,0.3041343,0.1450678,0.0008107105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.09324914,0.0207459,0.7912011,0.06762604,0.001019527,0.002306495,0.0002908277,0.003320292,0.02024068],"genre_scores_gemma":[0.5882045,0.004902419,0.397915,0.004781685,0.0008372066,0.001155449,0.0004291717,0.0003793228,0.001395193],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1122023,"threshold_uncertainty_score":0.5933896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4029037490060972,"score_gpt":0.5609248897180024,"score_spread":0.1580211407119052,"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."}}