{"id":"W3081573058","doi":"10.1177/0846537120949974","title":"Computational Radiology in Breast Cancer Screening and Diagnosis Using Artificial Intelligence","year":2020,"lang":"en","type":"review","venue":"Canadian Association of Radiologists Journal","topic":"AI in cancer detection","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; London Health Sciences Centre; York University; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Terry Fox Research Institute","keywords":"Medicine; Mammography; Breast cancer screening; Digital mammography; Workflow; Breast cancer; Breast imaging; Medical physics; Artificial intelligence; Applications of artificial intelligence; Radiology; Medical imaging; Tomosynthesis; Machine learning; Computer science; Cancer; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001374356,0.0008418449,0.0009403214,0.002892312,0.0003256391,0.001253329,0.001093092,0.001930672,0.00302195],"category_scores_gemma":[0.003313073,0.0003430293,0.0006912535,0.003091747,0.001164508,0.001628637,0.0007942735,0.002945311,0.001833988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483676,"about_ca_system_score_gemma":0.002541427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005505119,"about_ca_topic_score_gemma":0.008649901,"domain_scores_codex":[0.9993804,0.0002112859,0.00006688145,0.00006807106,0.0002381065,0.00003526166],"domain_scores_gemma":[0.9978217,0.001433457,0.0001151103,0.0000559463,0.0004928636,0.00008093778],"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":[0.00003392894,0.00003592703,0.0002208176,0.01326906,0.0001406541,0.0001124186,0.000084232,0.001087159,0.0003301042,0.01668212,0.08977208,0.8782315],"study_design_scores_gemma":[0.00001681137,0.00004679365,0.0008633045,0.006815553,0.00009107558,0.0007496068,0.0000481785,0.0006057801,0.0002408622,0.01155858,0.9789257,0.00003770831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005103607,0.9963736,0.0004404981,0.001502448,0.0005241116,0.000004561905,0.00001005407,0.000009562763,0.001084101],"genre_scores_gemma":[0.0007675349,0.9969111,0.0004492215,0.0006923712,0.0006889798,0.000008164824,0.00001791836,0.000003359345,0.0004613909],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005505119,"threshold_uncertainty_score":0.01094615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07734392421739672,"score_gpt":0.3372911480318645,"score_spread":0.2599472238144678,"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."}}