Automated Detection of Abnormal Pediatric Electroencephalograms Using Machine Learning: Retrospective Study

Leonardo Poggi   ^{1, 2, 3} , MSc ;   Nils Flaschel   ^{1, 2} , PhD ;   Sven Steffen Becker   ^{1, 2} , PhD ;   Felix Nensa   ^{1, 2} , Prof Dr ;   Judith Kohnke   ^{1, 2} , MSc ;   Sandra Greve   ^{4, 5} , Dr med ;   Luisa Paul   ^{4, 5, 6} , Dr med ;   Christian Dohna-Schwake   ^{4, 5} , Prof Dr Med ;   Ursula Felderhoff-Müser   ^{4, 5} , Prof Dr Med ;   Adela Della Marina   ^{4, 5} , Dr med ;   Christopher Johannes Stein   ^{7, 8} , Prof Dr ;   René Hosch   ^{1, 2 *} , PhD ;   Nora Bruns   ^{4, 5 *} , PD Dr

¹ Institute of Diagnostic and Interventional Radiology and Neuroradiology, Essen University Hospital, Essen, North Rhine-Westphalia, Germany

² Institute for Artificial Intelligence in Medicine (IKIM), Essen University Hospital, Essen, North Rhine-Westphalia, Germany

³ Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Baden-Wurttemberg, Germany

⁴ Department of Pediatrics I, Essen University Hospital, Essen, North Rhine-Westphalia, Germany

⁵ C-TNBS, Centre for Translational Neuro- and Behavioural Sciences,, Essen University Hospital, Essen, North Rhine-Westphalia, Germany

⁶ Department of Pediatric Cardiology/Congenital Cardiology, University Hospital Heidelberg, Heidelberg, Baden-Wurttemberg, Germany

⁷ Theoretische Physik and CENIDE, University of Duisburg-Essen, Duisburg, North Rhine-Westphalia, Germany

⁸ Catalysis Research Center and Atomistic Modeling Center, Department of Chemistry, Technical University of Munich, Garching, Bavaria, Germany

*these authors contributed equally