{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007742875,0.0006956364,0.0009495821,0.002231675,0.0002408855,0.001375909,0.0005950655,0.001188124,0.003106984],"category_scores_gemma":[0.001284705,0.0002877926,0.0007688261,0.002132827,0.0006483726,0.001733619,0.0005823966,0.001480144,0.001020831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005827728,"about_ca_system_score_gemma":0.001079781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008870922,"about_ca_topic_score_gemma":0.001101846,"domain_scores_codex":[0.9997438,0.00006705179,0.00005526645,0.00004764034,0.00006606465,0.00002018993],"domain_scores_gemma":[0.9991166,0.000648255,0.00008260862,0.00001675734,0.0001075011,0.00002816804],"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":[0.00009775285,0.00009182785,0.0005641723,0.04890009,0.0001761625,0.0006196846,0.0003150076,0.000690559,0.001879687,0.01218523,0.04092416,0.8935557],"study_design_scores_gemma":[0.00001307835,0.0001370101,0.001441673,0.01630965,0.0002277392,0.002864193,0.0001622017,0.0002928552,0.0006600302,0.004037132,0.9738165,0.000038015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001500242,0.9979923,0.0002415103,0.000556062,0.0001858686,0.000006665286,0.00001324441,0.000004754388,0.0008495797],"genre_scores_gemma":[0.0009032595,0.9976956,0.0002959086,0.0004153656,0.0003604467,0.00001286621,0.00002165609,0.000002465162,0.0002924068],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003106984,"threshold_uncertainty_score":0.01039392,"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."}}