{"id":"W2931693521","doi":"10.1016/j.carj.2019.03.001","title":"Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology","year":2019,"lang":"en","type":"review","venue":"Canadian Association of Radiologists Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of Ottawa; Women's College Hospital; St. Michael's Hospital; Western University; University of Toronto; BitCan (Canada); Ottawa Hospital; Carleton University; Université Laval; Université de Montréal; Fraser Health; University of Alberta","funders":"Canadian Institutes of Health Research; Association Canadienne des Radiologistes; Alberta Health Services","keywords":"Medicine; Confidentiality; Artificial intelligence; Autonomy; White paper; Best practice; Informed consent; Medical education; Computer science; Alternative medicine; Pathology; Law; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008731209,0.0007818934,0.001230528,0.005534912,0.003130236,0.004236626,0.002962829,0.006404316,0.01035933],"category_scores_gemma":[0.02674897,0.0005155791,0.0008176238,0.006607323,0.005153376,0.002675397,0.002008857,0.006079348,0.003557713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01732269,"about_ca_system_score_gemma":0.08048518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2477777,"about_ca_topic_score_gemma":0.3654573,"domain_scores_codex":[0.9921851,0.0009618131,0.0006496841,0.0005007186,0.005152839,0.0005498327],"domain_scores_gemma":[0.9680672,0.008502603,0.001746762,0.0007569719,0.01864304,0.002283417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001441222,0.00001137004,0.0001457193,0.002581964,0.00002057714,0.0001498408,0.0001596387,0.00006344403,0.0000781542,0.01423964,0.783889,0.1986464],"study_design_scores_gemma":[0.00000409454,0.000003414642,0.0003031548,0.002800086,0.00001311543,0.0002763962,0.00005241045,0.00001293852,0.00003153248,0.001115432,0.9953767,0.00001065799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001389124,0.8699095,0.0003931681,0.08906228,0.01118524,0.00006270008,0.0001749523,0.00003273672,0.02904047],"genre_scores_gemma":[0.003845254,0.9383583,0.00132832,0.03595472,0.004772739,0.00008875517,0.0003461153,0.00003269108,0.01527315],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2477777,"threshold_uncertainty_score":0.492671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134974162584407,"score_gpt":0.4276317997840818,"score_spread":0.3141343835256411,"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."}}