{"id":"W2887021901","doi":"10.1007/s00330-018-5674-x","title":"Demystification of AI-driven medical image interpretation: past, present and future","year":2018,"lang":"en","type":"review","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":157,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Interpretation (philosophy); Neuroradiology; Medicine; Interventional radiology; Radiology; Medical physics; Computer science; Neurology; Psychiatry; Programming language","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":[0.003210431,0.0008011592,0.001109294,0.002486313,0.0002702603,0.002642216,0.002261924,0.001900416,0.00301003],"category_scores_gemma":[0.008068728,0.0003578773,0.0007438549,0.001582339,0.001876658,0.003024173,0.001166432,0.002194978,0.001277375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020757,"about_ca_system_score_gemma":0.002246734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813322,"about_ca_topic_score_gemma":0.002627265,"domain_scores_codex":[0.9991409,0.000258778,0.0001194686,0.0001379502,0.000298401,0.00004452974],"domain_scores_gemma":[0.9926992,0.005114689,0.0005641417,0.000248621,0.00123136,0.0001420506],"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":[0.00005812553,0.00005491853,0.0009326268,0.01204949,0.0001141136,0.0001981215,0.0002398052,0.0006524325,0.0009967277,0.01055071,0.01172442,0.9624286],"study_design_scores_gemma":[0.00003426692,0.0001648775,0.004575424,0.01688578,0.0003767778,0.005700994,0.0005360718,0.003349092,0.003270427,0.0385712,0.9264025,0.0001325108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005688836,0.9925531,0.002960206,0.002166653,0.0002791241,0.000009586718,0.00002963231,0.00004162823,0.001391258],"genre_scores_gemma":[0.01313267,0.9741791,0.00839344,0.001941233,0.001271868,0.00002575401,0.000116534,0.00003286545,0.0009064837],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003210431,"threshold_uncertainty_score":0.01697856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724476556292529,"score_gpt":0.344586607164398,"score_spread":0.3273418416014727,"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."}}