{"id":"W4386997696","doi":"10.1053/j.semnuclmed.2023.08.004","title":"Application of Artificial Intelligence in Oncologic Molecular PET-Imaging: A Narrative Review on Beyond [18F]F-FDG Tracers - Part I. PSMA, Choline, and DOTA Radiotracers","year":2023,"lang":"en","type":"review","venue":"Seminars in Nuclear Medicine","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Magnetic resonance imaging; Positron emission tomography; Nuclear medicine; Molecular imaging; Radiomics; Radiology; Artificial intelligence; In vivo; Computer science","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":[0.001573926,0.0005219718,0.002673682,0.0008306785,0.00005115496,0.000008018269,0.0002704918,0.0001833658,0.0001248292],"category_scores_gemma":[0.0006839701,0.0003716144,0.0001950862,0.001733649,0.0007158846,0.00005068849,0.00008767472,0.00113491,0.00003696041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007046788,"about_ca_system_score_gemma":0.0003179257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008080086,"about_ca_topic_score_gemma":0.0000175248,"domain_scores_codex":[0.9964374,0.0003148197,0.001346702,0.0008365078,0.0005880719,0.0004764523],"domain_scores_gemma":[0.9982145,0.000415054,0.0004845998,0.0005689763,0.00009689297,0.000219949],"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":[0.0001808967,0.0002193701,0.00001509104,0.03259821,0.000102938,0.0009904074,0.001082937,0.000002272815,0.00002453726,0.0002308776,0.002610806,0.9619417],"study_design_scores_gemma":[0.001069928,0.001706722,0.00002510894,0.3211344,0.001093357,0.0003470638,0.002547853,0.0006763402,0.00001036829,0.0004058334,0.6705019,0.0004811653],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002523831,0.9903013,0.000008794399,0.004083049,0.0001670774,0.003780799,0.00002059155,0.00004536354,0.001340694],"genre_scores_gemma":[0.0002106363,0.9980837,0.0002117317,0.0004758292,0.0001459488,0.000317088,0.000238147,0.00009851003,0.0002183687],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9614605,"threshold_uncertainty_score":0.9998736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05836267653970659,"score_gpt":0.4172595825504569,"score_spread":0.3588969060107503,"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."}}