{"id":"W4385751831","doi":"10.1002/alz.13412","title":"Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review","year":2023,"lang":"en","type":"review","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"NIHR Cambridge Biomedical Research Centre; National Institutes of Health; National Health and Medical Research Council; Courtois Foundation; National Institute for Health and Care Research; Bundesministerium für Bildung und Forschung; University of Bristol; Deutsche Forschungsgemeinschaft; Comisión Nacional de Investigación Científica y Tecnológica; Department of Health and Social Care; Engineering and Physical Sciences Research Council; EU Joint Programme – Neurodegenerative Disease Research; Medical Research Council; Alzheimer's Association","keywords":"Neuroimaging; Dementia; Artificial intelligence; Modalities; Machine learning; Discriminative model; Disease; Alzheimer's Disease Neuroimaging Initiative; Computer science; Medicine; Data science; Psychiatry; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01082349,0.001070464,0.005076031,0.007344714,0.0005176049,0.003007543,0.00168052,0.001761757,0.004078868],"category_scores_gemma":[0.05627505,0.0007512301,0.005702191,0.007163945,0.0009426357,0.002232906,0.001212951,0.001764102,0.0003678698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003257419,"about_ca_system_score_gemma":0.009227217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00773046,"about_ca_topic_score_gemma":0.02013888,"domain_scores_codex":[0.9920873,0.0037148,0.002121965,0.0005588812,0.001328015,0.0001890729],"domain_scores_gemma":[0.934701,0.05674378,0.004543415,0.0006471928,0.003013169,0.0003513448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000224529,0.00002910459,0.002130207,0.842711,0.0103691,0.00008057538,0.0001812697,0.0003215359,0.00007681426,0.0009489891,0.007417093,0.1355098],"study_design_scores_gemma":[0.0001648415,0.0001206279,0.006513735,0.9300278,0.03156246,0.0003312144,0.0001501577,0.0003008652,0.0001024608,0.001506814,0.0291746,0.00004434415],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002566245,0.9988668,0.0001087709,0.0003862764,0.00006199933,0.00004806355,0.0001202532,0.00000465897,0.0001465911],"genre_scores_gemma":[0.006663372,0.9916733,0.0006418747,0.0005476876,0.0001084655,0.000171164,0.0001438863,0.000003978991,0.00004620116],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01082349,"threshold_uncertainty_score":0.05724078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309578454209125,"score_gpt":0.4093633904839638,"score_spread":0.2784055450630513,"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."}}