{"id":"W4395034382","doi":"10.1055/s-0044-1782888","title":"Artificial Intelligence and colorectal neoplasia detection performances in FIT+patients: a meta-analysis and systematic review","year":2024,"lang":"en","type":"article","venue":"Endoscopy","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Medicine; Meta-analysis; MEDLINE; Colonoscopy; Colorectal cancer; Artificial intelligence; Internal medicine; Computer science; Cancer","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":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.007744723,0.001815932,0.01100211,0.003168047,0.0005034469,0.00253287,0.001377562,0.001891609,0.003302515],"category_scores_gemma":[0.02450879,0.001019888,0.02703231,0.004535572,0.0005894683,0.001023676,0.0009736241,0.001585866,0.0002245696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155303,"about_ca_system_score_gemma":0.001910126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00508887,"about_ca_topic_score_gemma":0.007724255,"domain_scores_codex":[0.9949604,0.002430107,0.001340132,0.0006118071,0.0004620048,0.0001955158],"domain_scores_gemma":[0.976562,0.01901476,0.002672869,0.0005181218,0.0009912269,0.0002409348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004336719,0.00007701734,0.01408608,0.2883486,0.6712796,0.000117033,0.00006722994,0.0007687605,0.0001928632,0.0001598336,0.0008290524,0.01973724],"study_design_scores_gemma":[0.0007444732,0.0002787841,0.008995532,0.01537785,0.9724895,0.00009452795,0.00003076052,0.0002970053,0.00008974657,0.0002025449,0.001376366,0.00002295203],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007384403,0.9914019,0.0003071364,0.0001887136,0.00009060476,0.00008922363,0.0003429301,0.00001295107,0.0001821716],"genre_scores_gemma":[0.2648109,0.7309801,0.001499148,0.0008512407,0.0003722466,0.0004299829,0.0007981809,0.000021916,0.0002364142],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9889979,"threshold_uncertainty_score":0.04095852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908867110665957,"score_gpt":0.3268310205569749,"score_spread":0.2977423494503153,"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."}}