{"id":"W4406871579","doi":"10.1186/s12885-025-13547-9","title":"Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis","year":2025,"lang":"en","type":"review","venue":"BMC Cancer","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Renal cell carcinoma; Surgical oncology; Meta-analysis; Medicine; Carcinoma; MEDLINE; Systematic review; Oncology; Internal medicine; Bioinformatics; Pathology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005224094,0.0003918267,0.00818164,0.0006872354,0.0000169508,0.000005237952,0.0001300122,0.0001475936,0.0001100957],"category_scores_gemma":[0.0003281214,0.0002541269,0.001751479,0.001702806,0.00006514884,0.0000303067,0.00005888953,0.0002161089,0.000003548749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002925407,"about_ca_system_score_gemma":0.000517138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004642741,"about_ca_topic_score_gemma":0.0004581398,"domain_scores_codex":[0.9968907,0.0003297698,0.001833708,0.0004395511,0.0003278867,0.0001784155],"domain_scores_gemma":[0.9972115,0.0008794127,0.00105469,0.0006245832,0.0001642323,0.00006562575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00001331927,0.00007126655,0.00004910674,0.9850867,0.009381978,0.000008367018,0.00002449865,0.00002494433,0.000001932439,0.00000243526,0.000002212166,0.005333268],"study_design_scores_gemma":[0.00005174231,0.000159186,0.00005165121,0.106189,0.8927933,0.00001356992,0.000009176971,0.00008801681,0.0004131755,0.000001505567,0.0000738711,0.0001558462],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003983673,0.9955302,0.0001798591,0.000005614533,0.00003051402,0.003712908,0.00006996162,0.00000566441,0.00006683906],"genre_scores_gemma":[0.04178495,0.9558644,0.00009417777,0.0000134751,0.00001546229,0.001855742,0.00002133597,0.0000181811,0.0003322502],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8834113,"threshold_uncertainty_score":0.9999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09860627253806747,"score_gpt":0.3495516135067507,"score_spread":0.2509453409686832,"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."}}