{"id":"W4391073970","doi":"10.1186/s13244-023-01541-3","title":"Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA","year":2024,"lang":"en","type":"article","venue":"Insights into Imaging","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Western University","funders":"Royal Australian and New Zealand College of Radiologists; Radiological Society of North America","keywords":"Interventional radiology; Medicine; Health care; Purchasing; Clinical Practice; Neuroradiology; Radiology; Operations management; Engineering; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.1546864,0.001178409,0.000943066,0.002299662,0.007490334,0.02857454,0.005858261,0.03221504,0.007373472],"category_scores_gemma":[0.207606,0.00123333,0.001267484,0.001421339,0.01616303,0.02167569,0.01243371,0.01857645,0.009962539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006344699,"about_ca_system_score_gemma":0.05900458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00626927,"about_ca_topic_score_gemma":0.01175838,"domain_scores_codex":[0.8356789,0.07584122,0.01793902,0.007328018,0.05857504,0.00463785],"domain_scores_gemma":[0.613892,0.183334,0.03154233,0.02305909,0.1133476,0.03482493],"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":[0.00009269576,0.0003139657,0.003070366,0.001698658,0.00006002711,0.001430588,0.008373805,0.001493726,0.002718196,0.06277201,0.5933084,0.3246676],"study_design_scores_gemma":[0.000024892,0.0001949122,0.001480659,0.002350111,0.00002718015,0.001882919,0.004366386,0.0009384899,0.0006108748,0.02624044,0.9617289,0.000154215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00146432,0.01318933,0.01207728,0.9495864,0.006431208,0.0002885264,0.00003488678,0.0002049085,0.01672322],"genre_scores_gemma":[0.09385879,0.06030929,0.213236,0.5447358,0.02363668,0.002058244,0.0002904577,0.0006196229,0.06125508],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1546864,"threshold_uncertainty_score":0.8180698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.281207038312787,"score_gpt":0.5015321515334262,"score_spread":0.2203251132206392,"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."}}