{"id":"W7117247381","doi":"10.1002/epi.70058","title":"A call for ethical, equitable, and effective artificial intelligence to improve care for all people with epilepsy: A roadmap. A report by the ILAE Global Advocacy Council and Big Data Commission","year":2025,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Eisai; University College London; UCB Pharma; Otsuka Pharmaceutical; British Heart Foundation; Angelini Pharma; National Institute for Health and Care Research; Epilepsy Research UK; National Institutes of Health; LivaNova","keywords":"Workflow; Big data; Commission; Epilepsy; Global health; Health care; Wearable computer; eHealth","routes":{"ca_aff":true,"ca_fund":false,"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":[0.05640706,0.001472846,0.001736867,0.00255034,0.006340057,0.0225356,0.00341303,0.0214753,0.01996935],"category_scores_gemma":[0.06493983,0.0009975838,0.002102875,0.003021498,0.01701435,0.03779667,0.01863998,0.04144448,0.007922276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007710299,"about_ca_system_score_gemma":0.06155475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005682425,"about_ca_topic_score_gemma":0.00742159,"domain_scores_codex":[0.9717894,0.01309445,0.001565794,0.001566532,0.008300223,0.003683631],"domain_scores_gemma":[0.8661677,0.0711806,0.005269136,0.006228142,0.02185421,0.02930025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007305501,0.0001305785,0.0006607046,0.0007784171,0.00005248748,0.0001568286,0.001169671,0.0002964883,0.0003038709,0.07727219,0.8115782,0.1075277],"study_design_scores_gemma":[0.00005200225,0.00008860732,0.001127413,0.002435905,0.0000333424,0.0002953284,0.002609071,0.0006852122,0.0002719235,0.1386662,0.8536495,0.00008534467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002641342,0.01351485,0.001948351,0.9766614,0.004396493,0.00002710117,0.0001125432,0.00009592681,0.002979164],"genre_scores_gemma":[0.02821432,0.09584028,0.02883652,0.8121561,0.01705037,0.0004395718,0.001167726,0.0004007159,0.01589453],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05640706,"threshold_uncertainty_score":0.2983126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06252630801059814,"score_gpt":0.3732101172907707,"score_spread":0.3106838092801726,"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."}}