{"id":"W4390885406","doi":"10.3390/diagnostics14020181","title":"Radiomics and Artificial Intelligence in Radiotheranostics: A Review of Applications for Radioligands Targeting Somatostatin Receptors and Prostate-Specific Membrane Antigens","year":2024,"lang":"en","type":"review","venue":"Diagnostics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Iran National Science Foundation; Iran University of Medical Sciences; National Science Foundation","keywords":"Radiomics; Prostate cancer; Glutamate carboxypeptidase II; Somatostatin receptor; Medicine; Neuroendocrine tumors; Radionuclide therapy; Workflow; Artificial intelligence; Computer science; Somatostatin; Cancer; Nuclear medicine; Internal medicine; Database","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":[0.0007684211,0.0008998802,0.0009062543,0.002411731,0.0002793097,0.001697875,0.0006685141,0.001553044,0.002925565],"category_scores_gemma":[0.001156155,0.000360035,0.0007639548,0.003403536,0.0008802909,0.002166579,0.0006343546,0.001836807,0.001641709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008334625,"about_ca_system_score_gemma":0.00100462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043214,"about_ca_topic_score_gemma":0.0007662643,"domain_scores_codex":[0.9995152,0.0001183393,0.00005542253,0.00009923081,0.0001726803,0.00003920896],"domain_scores_gemma":[0.9991845,0.000524913,0.00005694799,0.00003302457,0.0001680506,0.00003247529],"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":[0.00008649837,0.0001307793,0.0005405443,0.01580587,0.000129007,0.0003756786,0.0003638989,0.002330707,0.007908383,0.04177013,0.03901953,0.8915389],"study_design_scores_gemma":[0.000008084502,0.0001445379,0.0007498379,0.002096797,0.00008454901,0.001282048,0.0001183335,0.001246983,0.002432725,0.009569623,0.9822124,0.00005399116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006213,0.9868072,0.00564525,0.0007755696,0.0005827708,0.00001556818,0.00004076912,0.00004784618,0.005463698],"genre_scores_gemma":[0.005207846,0.9852132,0.005207692,0.00070094,0.0009081117,0.00003206765,0.00008862331,0.00002772652,0.002613806],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002925565,"threshold_uncertainty_score":0.009787023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703988471765289,"score_gpt":0.3553904720411777,"score_spread":0.3283505873235248,"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."}}