{"id":"W2939845202","doi":"10.1016/j.ebiom.2019.04.022","title":"Deep learning only by normal brain PET identify unheralded brain anomalies","year":2019,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, San Diego; Genentech; National Institutes of Health; Ministry of Science and ICT, South Korea; H. Lundbeck A/S; Fujirebio Europe; Eisai; Servier; Ministry of Science ICT and Future Planning; Meso Scale Diagnostics; National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Institute on Aging; Ministry of Environment; Northern California Institute for Research and Education; Ministry of Education, India; Pfizer; Biogen; BioClinica; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; F. Hoffmann-La Roche; Alzheimer's Drug Discovery Foundation; Johnson and Johnson Pharmaceutical Research and Development; National Research Foundation; IXICO; Takeda Pharmaceutical Company; AbbVie; Alzheimer's Association; Foundation for the National Institutes of Health; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative","keywords":"Abnormality; Autoencoder; Receiver operating characteristic; Artificial intelligence; Deep learning; Area under the curve; Neuroimaging; Medicine; Machine learning; Computer science; Internal medicine; Psychiatry","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":[0.001338036,0.0007308108,0.0004527188,0.0007558723,0.0001175125,0.000693702,0.0005176202,0.0006404992,0.0008263065],"category_scores_gemma":[0.004502458,0.0002309914,0.0005644482,0.0003742791,0.0004202478,0.0007060058,0.0005456918,0.0006187567,0.0002647899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006405397,"about_ca_system_score_gemma":0.0006115119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002694759,"about_ca_topic_score_gemma":0.003317387,"domain_scores_codex":[0.9996647,0.00007970917,0.00002672919,0.0001092756,0.00006918519,0.00005040742],"domain_scores_gemma":[0.9986845,0.0006901819,0.000179305,0.0001612698,0.0002227608,0.0000620793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007821842,0.0003643163,0.2365441,0.0003449817,0.0004880692,0.001085914,0.0003295033,0.3012057,0.06196941,0.0030715,0.003608001,0.3902062],"study_design_scores_gemma":[0.00001034814,0.0001276474,0.01843646,0.00003511761,0.00004759839,0.0004512361,0.0000465349,0.9571903,0.01826369,0.004597254,0.0007756964,0.0000180671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6846848,0.001071394,0.3101457,0.0005888404,0.00005759588,0.00006717978,0.0004808272,0.0009923647,0.0019113],"genre_scores_gemma":[0.9757741,0.0002223533,0.02292075,0.00009173071,0.00001674196,0.00002345771,0.0003724269,0.00004112812,0.0005372548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002694759,"threshold_uncertainty_score":0.007076263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007714945302485138,"score_gpt":0.3075451006352734,"score_spread":0.2998301553327883,"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."}}