{"id":"W2790260297","doi":"10.1186/s12938-018-0439-y","title":"Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm","year":2018,"lang":"en","type":"article","venue":"BioMedical Engineering OnLine","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Northern California Institute for Research and Education; University of California, San Diego; Pfizer; Biogen; BioClinica; Synarc; University of Southern California; Medpace; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Neuroimaging; Segmentation; Hippocampal formation; Alzheimer's Disease Neuroimaging Initiative; Magnetic resonance imaging; Dementia; Computer science; Atrophy; Cohort; Human brain; Disease; Artificial intelligence; Medicine; Neuroscience; Psychology; Pathology; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003593734,0.0008942679,0.0008175455,0.002379587,0.0006409159,0.001266953,0.0008649337,0.001077734,0.001314922],"category_scores_gemma":[0.008042415,0.0003139805,0.0008437451,0.000852321,0.0004201032,0.0008813088,0.0008245225,0.0005144174,0.0004901446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008995159,"about_ca_system_score_gemma":0.001419229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009244994,"about_ca_topic_score_gemma":0.01342286,"domain_scores_codex":[0.9984055,0.0007200422,0.0001225979,0.0003884601,0.0002837257,0.00007967515],"domain_scores_gemma":[0.99803,0.0009070697,0.0002576699,0.0002487157,0.0004950622,0.0000614717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002670288,0.0002767331,0.08886848,0.0005068249,0.001734553,0.0006168486,0.0005072234,0.1778653,0.02081186,0.005823004,0.01870757,0.6816114],"study_design_scores_gemma":[0.00008832137,0.0002403825,0.03053835,0.0001037153,0.0003139047,0.001025058,0.000110019,0.9449063,0.009710605,0.008105393,0.0047834,0.0000744997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2901818,0.004005184,0.6915883,0.0006402916,0.0003059446,0.0006999596,0.003213716,0.004322032,0.005042856],"genre_scores_gemma":[0.6416114,0.0007130877,0.3520634,0.0001759806,0.0001003212,0.0003987634,0.002571717,0.0002273531,0.002138052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009244994,"threshold_uncertainty_score":0.01900566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03685811222247169,"score_gpt":0.3218849847269062,"score_spread":0.2850268725044345,"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."}}