{"id":"W4220887083","doi":"10.1016/j.arr.2022.101614","title":"Artificial intelligence in brain MRI analysis of Alzheimer’s disease over the past 12 years: A systematic review","year":2022,"lang":"en","type":"review","venue":"Ageing Research Reviews","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Fraser Health; Baycrest Hospital; Surrey Memorial Hospital; Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Dementia; Magnetic resonance imaging; Artificial intelligence; Neuroimaging; Cognition; Cognitive impairment; Alzheimer's disease; Support vector machine; Psychology; Disease; Machine learning; Neuroscience; Medicine; Computer science; Pathology; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.030504,0.0004977491,0.006296801,0.002356356,0.0001777549,0.00009718995,0.001177825,0.0001100084,0.003922769],"category_scores_gemma":[0.01086546,0.0002972332,0.00267066,0.009778332,0.0003518203,0.000097115,0.0008576554,0.00209781,0.0003042065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003590951,"about_ca_system_score_gemma":0.0008452527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000108216,"about_ca_topic_score_gemma":0.00006577451,"domain_scores_codex":[0.9807382,0.01116085,0.003307925,0.0009175821,0.002937035,0.0009384416],"domain_scores_gemma":[0.992893,0.003492737,0.0008931588,0.002107088,0.0002209681,0.0003930272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001113607,0.0002165551,0.00005586837,0.5687974,0.001468062,0.0005189716,0.00005533324,1.658641e-7,9.358321e-8,0.00008663015,0.001927303,0.4268625],"study_design_scores_gemma":[0.00003357134,0.0001199402,0.0003849323,0.4551013,0.0221407,0.000007526267,0.0000441201,0.0000501202,5.530861e-8,0.00003995951,0.5218918,0.0001859697],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000006738326,0.9820656,0.00004235103,0.0004682322,0.00004320738,0.01681909,0.00005163755,0.00001529153,0.0004878527],"genre_scores_gemma":[0.00003603027,0.9920616,0.00001970156,0.000360236,0.00009796576,0.006538262,0.0003433204,0.00006248965,0.0004804387],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5199645,"threshold_uncertainty_score":0.999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2577220286739111,"score_gpt":0.4971701052008343,"score_spread":0.2394480765269231,"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."}}