{"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 &amp; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007703781,0.0001770241,0.0002284357,0.00009167052,0.0004344156,0.0004153394,0.00004676926,0.00007474693,0.00005110214],"category_scores_gemma":[0.0008714042,0.0001310652,0.0000585912,0.0002016434,0.0001490914,0.0005014793,0.00009207893,0.0005640335,0.00002138725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004443821,"about_ca_system_score_gemma":0.0006947937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006192479,"about_ca_topic_score_gemma":0.001277395,"domain_scores_codex":[0.998177,0.0001493355,0.000668793,0.0004321926,0.0001986088,0.0003740784],"domain_scores_gemma":[0.9981124,0.001318214,0.000080833,0.000228453,0.000167704,0.00009244365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006904411,0.0001675736,0.3388318,0.0004189973,0.0003352482,0.000327821,0.3620149,0.00003980947,0.01948541,0.009425608,0.008872875,0.2600109],"study_design_scores_gemma":[0.001140923,0.0001348029,0.0443008,0.004737965,0.0004439968,0.0008212265,0.1126681,0.06656604,0.06122914,0.06381398,0.6428015,0.001341588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.889572,0.00981987,0.03891509,0.05943789,0.001339351,0.0007232366,0.000003864905,0.0001132647,0.00007538556],"genre_scores_gemma":[0.9454773,0.0008498991,0.05049922,0.002364993,0.0006202782,0.0000894233,0.00003845102,0.00002445115,0.00003598425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6339286,"threshold_uncertainty_score":0.9361218,"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."}}