{"id":"W3156448175","doi":"10.2196/25869","title":"Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion","keywords":"Artificial intelligence; Deep learning; Machine learning; Computer science; Thyroid nodules; Receiver operating characteristic; Medicine; Thyroid; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.005601018,0.0007321782,0.000667881,0.0007012298,0.0003791302,0.0005994013,0.001122433,0.001178354,0.0006589037],"category_scores_gemma":[0.01143529,0.0002124688,0.0006026981,0.0004339969,0.001040295,0.0009039289,0.001126652,0.0008689633,0.0002866343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366039,"about_ca_system_score_gemma":0.001044086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003773355,"about_ca_topic_score_gemma":0.002185439,"domain_scores_codex":[0.9974016,0.001255885,0.0001519083,0.000381214,0.0005512611,0.0002581748],"domain_scores_gemma":[0.9908098,0.004803435,0.0007371219,0.00169254,0.00156568,0.0003913525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005672069,0.00669945,0.1362299,0.0008680698,0.0007083906,0.001585624,0.0006628943,0.5197261,0.01795619,0.002416237,0.007250544,0.3002244],"study_design_scores_gemma":[0.0002768715,0.002681058,0.02544338,0.00006207561,0.0001131466,0.0006125778,0.0002569762,0.9475021,0.01984255,0.001725424,0.001438234,0.00004555112],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974532,0.0003760082,0.02306965,0.0002617957,0.00005270257,0.0001912701,0.0002240219,0.0006067738,0.0006856514],"genre_scores_gemma":[0.9880454,0.00009816996,0.01099824,0.00009339221,0.00001365882,0.00007783323,0.0003312305,0.00001072662,0.0003314603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005601018,"threshold_uncertainty_score":0.02962136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221225010509256,"score_gpt":0.3177019805599278,"score_spread":0.2955794795090022,"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."}}