{"id":"W3134709311","doi":"10.21037/atm-20-6220","title":"Artificial intelligence for molecular neuroimaging","year":2021,"lang":"en","type":"review","venue":"Annals of Translational Medicine","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McGill University; Health Sciences Centre; University of Toronto; University of Waterloo; Sunnybrook Health Science Centre; Centre for Addiction and Mental Health","funders":"","keywords":"Neuroimaging; Positron emission tomography; Molecular imaging; Single-photon emission computed tomography; Medical physics; Medical imaging; Artificial intelligence; Emission computed tomography; Correction for attenuation; Computer science; Medicine; Data science; Neuroscience; Nuclear medicine; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005077665,0.0002726375,0.001616635,0.0002410676,0.0000420619,0.000005655856,0.0001788807,0.000159083,0.0002411544],"category_scores_gemma":[0.0005276556,0.0002114562,0.0005909623,0.0004548822,0.0002664437,0.00002849876,0.00001721894,0.0003260479,0.000004301785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006746272,"about_ca_system_score_gemma":0.0003450825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000645228,"about_ca_topic_score_gemma":2.384502e-7,"domain_scores_codex":[0.997712,0.00005154541,0.001144429,0.0003989134,0.0004670319,0.0002260862],"domain_scores_gemma":[0.9981095,0.0005909261,0.0002818973,0.0003879046,0.0004456308,0.0001841659],"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":[0.0000084269,0.00009698858,4.119185e-7,0.007918249,0.0001274421,0.00001665464,0.00002031438,7.831841e-7,0.00005422164,0.03826663,0.004355134,0.9491348],"study_design_scores_gemma":[0.00005731186,0.0001410524,7.873017e-7,0.02117188,0.001041744,0.00008098349,0.000006633091,0.0002711939,0.0003070484,0.009285545,0.9674812,0.00015463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.076464e-7,0.828769,0.1356042,0.03401247,0.00007741507,0.001003483,0.00006816553,0.00004538601,0.00041914],"genre_scores_gemma":[0.00007393411,0.9749025,0.02191685,0.001235333,0.0004410379,0.000217522,0.001104043,0.00005000737,0.00005883588],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9631261,"threshold_uncertainty_score":0.8622931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3816708099596888,"score_gpt":0.5194848220780084,"score_spread":0.1378140121183196,"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."}}