{"id":"W4386347024","doi":"10.1002/alz.13390","title":"Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia","year":2023,"lang":"en","type":"review","venue":"Alzheimer s & Dementia","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"NIHR Maudsley Biomedical Research Centre; National Institutes of Health; Alzheimer’s Research UK; National Health and Medical Research Council; Courtois Foundation; British Heart Foundation; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; Alzheimer's Society; Motor Neurone Disease Association; Medical Research Council; National Institute on Aging; Alzheimer's Association","keywords":"Computer science; Artificial intelligence; Machine learning; Dementia; Data science; Biomarker discovery; Set (abstract data type); Biomarker; Data set; Big data; Disease; Data mining; Medicine; Biology","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":[0.00273551,0.001026144,0.001847189,0.003925086,0.0003990339,0.001732115,0.001028381,0.002279239,0.00268553],"category_scores_gemma":[0.003987351,0.0003501484,0.001166926,0.003530987,0.001260402,0.002201092,0.001157764,0.003944236,0.001302383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388892,"about_ca_system_score_gemma":0.002132981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680953,"about_ca_topic_score_gemma":0.002121634,"domain_scores_codex":[0.9990944,0.0003487085,0.0001239877,0.0001045218,0.0002805023,0.00004797891],"domain_scores_gemma":[0.9968199,0.002461968,0.000189735,0.00008154137,0.0003718109,0.00007506042],"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":[0.00004865865,0.00007462974,0.0002600751,0.02196056,0.0002901884,0.00009284243,0.00008216525,0.0007914482,0.0004175227,0.01426382,0.02552079,0.9361972],"study_design_scores_gemma":[0.00003840285,0.0001894546,0.00220874,0.02999541,0.0003905941,0.0009808084,0.0001550281,0.000923684,0.0006529609,0.04154534,0.9228477,0.00007193459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006146005,0.9978797,0.0003502715,0.0008829677,0.0001974852,0.000006973071,0.000009657848,0.000007544493,0.0006038876],"genre_scores_gemma":[0.0008519575,0.9976655,0.0005408577,0.0004616234,0.0002068905,0.00001636522,0.00001817991,0.000002254076,0.0002363924],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003925086,"threshold_uncertainty_score":0.01446694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1493578978630939,"score_gpt":0.3918913112221599,"score_spread":0.242533413359066,"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."}}