{"id":"W3136960503","doi":"10.1038/s41591-020-1037-7","title":"Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension","year":2020,"lang":"en","type":"review","venue":"Nature Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":608,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Ottawa; Ottawa Hospital; Women's College Hospital","funders":"U.S. National Library of Medicine; National Eye Institute; NIH Office of the Director; National Heart, Lung, and Blood Institute; Department of Health and Social Care; Medical Research Council; Birmingham Biomedical Research Centre; Research England; U.S. Food and Drug Administration; UK Research and Innovation; Surgical Reconstruction and Microbiology Research Centre; University Hospitals Birmingham NHS Foundation Trust; National Institutes of Health; National Institute for Health Research Applied Research Collaboration West; Wellcome; Alan Turing Institute; University of Birmingham; University of Warwick; Engineering and Physical Sciences Research Council; University of Ottawa; Macmillan Cancer Support; Cancer Research UK; Wellcome Trust; Harvard T.H. Chan School of Public Health; National Institute for Health and Care Research; Accenture; European Regional Development Fund; UCB Pharma; Impact Fund","keywords":"Extension (predicate logic); Psychological intervention; Clinical trial; Medicine; Computer science; Intensive care medicine; Artificial intelligence; Pathology; Psychiatry; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6166752,0.004280484,0.008650551,0.01346496,0.005418454,0.01640829,0.01148188,0.0263073,0.02100554],"category_scores_gemma":[0.6717806,0.008016881,0.01956988,0.01590136,0.01034706,0.01057253,0.01159776,0.03454337,0.04085249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01357869,"about_ca_system_score_gemma":0.07193208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002940502,"about_ca_topic_score_gemma":0.003919349,"domain_scores_codex":[0.2449284,0.5612154,0.1531245,0.006800132,0.02990127,0.004030411],"domain_scores_gemma":[0.1981894,0.4975981,0.06796721,0.07341256,0.1550454,0.007787243],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003973328,0.0007821209,0.001173073,0.06303083,0.001408348,0.000670212,0.01038594,0.003101173,0.001960599,0.09144316,0.5606402,0.2614311],"study_design_scores_gemma":[0.009924419,0.0009039291,0.003701679,0.1005137,0.001070542,0.001157586,0.001694313,0.006615629,0.002405894,0.1148228,0.7564833,0.0007061821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.001285665,0.008467434,0.3804238,0.05591276,0.01180895,0.5015857,0.0106735,0.004216385,0.02562583],"genre_scores_gemma":[0.00312406,0.003989179,0.3419743,0.01189935,0.001408259,0.6275867,0.005325661,0.000575494,0.004117095],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3833248,"threshold_uncertainty_score":0.4727077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8917692535452626,"score_gpt":0.7337787314351504,"score_spread":0.1579905221101122,"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."}}