{"id":"W4405981169","doi":"10.1101/2024.12.17.24319166","title":"Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis","year":2024,"lang":"en","type":"review","venue":"medRxiv","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; Douglas College; Université de Montréal; Sunnybrook Health Science Centre; Institut Universitaire de Gériatrie de Montréal","funders":"NIHR Cambridge Biomedical Research Centre; Trinity College, University of Cambridge; Fonds de Recherche du Québec - Santé; Courtois Foundation; Deutsches Zentrum für Neurodegenerative Erkrankungen; University of Toronto; Marga und Walter Boll-Stiftung; National Institute for Health and Care Research; UK Research and Innovation; BrightFocus Foundation; Alzheimer Society; McGill University; Department of Health and Social Care; Joachim Herz Stiftung; Alzheimer's Association","keywords":"Neuroimaging; Dementia; Cognitive impairment; Meta-analysis; Vascular dementia; Systematic review; Cognition; Psychology; Medicine; Cognitive psychology; Neuroscience; MEDLINE; Internal medicine; Disease; Political science","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":[0.01102015,0.001604715,0.008870705,0.005750533,0.0004032322,0.002459838,0.001473359,0.001408661,0.002949716],"category_scores_gemma":[0.03592495,0.0006915478,0.01324786,0.006376162,0.0006054256,0.00132624,0.0009605322,0.001399348,0.0002608151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727679,"about_ca_system_score_gemma":0.003789666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004488082,"about_ca_topic_score_gemma":0.009217689,"domain_scores_codex":[0.9942229,0.002749033,0.001505337,0.0005720959,0.0008078963,0.000142622],"domain_scores_gemma":[0.9650559,0.02954714,0.00301336,0.0004862127,0.001743168,0.0001541546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0006906847,0.00003126558,0.005023648,0.7626309,0.1206147,0.0001001779,0.00009821609,0.0007195367,0.0001846805,0.0005165146,0.002997273,0.1063923],"study_design_scores_gemma":[0.0005633857,0.0003753327,0.01439469,0.385805,0.573202,0.0004197345,0.0001231626,0.0007567012,0.0003718599,0.001867682,0.02204872,0.0000717986],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004907683,0.9988771,0.0001623716,0.0001560324,0.00004656146,0.00003655774,0.0001413902,0.000005434802,0.00008379073],"genre_scores_gemma":[0.01907878,0.9790012,0.0008900464,0.0003405621,0.000163717,0.0001986225,0.0002509438,0.00000678203,0.00006940058],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01102015,"threshold_uncertainty_score":0.05828083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08056825811048063,"score_gpt":0.3903353889857643,"score_spread":0.3097671308752836,"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."}}