{"id":"W4310852955","doi":"10.1038/s41467-022-33407-5","title":"Federated learning enables big data for rare cancer boundary detection","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":340,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; University of Alberta","funders":"DOD Peer Reviewed Cancer Research Program; CHIST-ERA; FP7 People: Marie-Curie Actions; David Geffen School of Medicine, University of California, Los Angeles; National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; Medical Research Council; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital; Whiting School of Engineering, Johns Hopkins University; Anschutz Medical Campus, University of Colorado; Perelman School of Medicine, University of Pennsylvania; Medical Center, University of Pittsburgh; National Institutes of Health; Universitätsklinikum Heidelberg; Lékařská fakulta, Masarykova univerzita; Masarykova Univerzita; Universidade Federal do Paraná; Deutsche Forschungsgemeinschaft; Technische Universität München; NYU Grossman School of Medicine; Case Comprehensive Cancer Center, Case Western Reserve University; Deutsches Krebsforschungszentrum; Fonds National de la Recherche Luxembourg; Engineering and Physical Sciences Research Council; European Commission; Fundação de Amparo à Pesquisa do Estado de São Paulo; Flinders University; Moffitt Cancer Center; National Institute of Mental Health and Neurosciences; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Oxford; Radiological Society of North America; Kepler Universitätsklinikum; University of Bern; Ministerstvo Zdravotnictví Ceské Republiky; Imperial College London; University of Alberta; National Institute of Neurological Disorders and Stroke; Canadian Institute for Advanced Research; Inselspital, Universitätsspital Bern; National Cancer Institute; Alberta Machine Intelligence Institute; KWF Kankerbestrijding; U.S. Department of Defense; Cancer Research UK; Varian Medical Systems; Wellcome Trust; Agenția Națională pentru Cercetare și Dezvoltare; Thomas Jefferson University; School of Medicine, Case Western Reserve University; Washington University in St. Louis; University of Pittsburgh; Johns Hopkins University; Ohio State University; University of Texas MD Anderson Cancer Center; Centre d'Imagerie BioMédicale; Conselho Nacional de Desenvolvimento Científico e Tecnológico; UK Research and Innovation; Deutschen Konsortium für Translationale Krebsforschung; Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute; National Science Foundation; Case Western Reserve University; Chinese University of Hong Kong; Massachusetts General Hospital; University of Pennsylvania; American College of Radiology Imaging Network; University of California, Los Angeles; Intel Corporation; V Foundation for Cancer Research; U.S. National Library of Medicine; Agencia Nacional de Investigación y Desarrollo; Brigham and Women's Hospital","keywords":"Generalizability theory; Computer science; Glioblastoma; Machine learning; Data sharing; Scale (ratio); Sample (material); Task (project management); Data science; Artificial intelligence; Big data; Data mining; Medicine; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001710745,0.00008138618,0.0001276164,0.00008731303,0.001825084,0.0000442967,0.0003858563,0.00007518232,0.00006329909],"category_scores_gemma":[0.0001987362,0.00007590033,0.00004529916,0.0002998662,0.00003568298,0.00005489438,0.0005797367,0.0007429427,0.000002601091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891699,"about_ca_system_score_gemma":0.0001674333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001912225,"about_ca_topic_score_gemma":0.00230642,"domain_scores_codex":[0.9993218,0.000102407,0.0001257094,0.0001902901,0.0001366909,0.0001231653],"domain_scores_gemma":[0.998431,0.0002202072,0.00007222082,0.001104829,0.0001276035,0.00004412854],"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":[0.0004982803,0.002965492,0.06445727,0.0001349046,0.001266629,0.00002439186,0.000725406,0.0003278916,0.03160068,0.001548916,0.1315172,0.7649329],"study_design_scores_gemma":[0.001040283,0.0001175264,0.008035631,0.00002144304,0.0001755865,0.00002665081,0.0004401406,0.004878845,0.001324706,0.00003611084,0.9838223,0.00008078064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4409009,0.3991827,0.001490961,0.1367679,0.003410453,0.006143415,0.004056947,0.001048586,0.006998138],"genre_scores_gemma":[0.9921449,0.001160943,0.0007753072,0.0005914078,0.00009329953,0.001006042,0.003950916,0.00002095353,0.0002562232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8523051,"threshold_uncertainty_score":0.9994744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07483269328796817,"score_gpt":0.3547455612276453,"score_spread":0.2799128679396771,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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