Development and validation of clinico-imaging machine learning and deep learning models to predict responses to initial antiseizure medications in epilepsy.

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Title: Development and validation of clinico-imaging machine learning and deep learning models to predict responses to initial antiseizure medications in epilepsy.
Authors: Nazem-Zadeh MR; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran., Chang RS; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia., Barnard S; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia., Pardoe HR; Imaging and Epilepsy Group, Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia., Kuzniecky R; Northwell Health, New York City, New York, USA., Mishra D; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; School of Computer Science & Software Engineering, Monash University, Melbourne, Victoria, Australia., Kamkar H; Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran., Nhu D; Monash Medical AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; AIM for Health Lab, Monash University, Melbourne, Victoria, Australia., Metha D; Monash Medical AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; AIM for Health Lab, Monash University, Melbourne, Victoria, Australia., Thom D; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia., Chen Z; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia., Ge Z; Monash Medical AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; AIM for Health Lab, Monash University, Melbourne, Victoria, Australia.; Airdoc-Monash Research Lab, Monash University, Melbourne, Victoria, Australia., O'Brien TJ; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia.; Department of Medicine & Neurology, Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia., Sinclair B; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia., French J; Epilepsy Consortium, New York University Langone, New York City, New York, USA., Law M; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Radiology, Alfred Health, Melbourne, Victoria, Australia.; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Victoria, Australia., Kwan P; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia.; Department of Medicine & Neurology, Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia.
Source: Epilepsia [Epilepsia] 2026 Jan; Vol. 67 (1), pp. 120-137. Date of Electronic Publication: 2025 Oct 24.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Blackwell Science Country of Publication: United States NLM ID: 2983306R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1167 (Electronic) Linking ISSN: 00139580 NLM ISO Abbreviation: Epilepsia Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1528-1167
DOI:10.1111/epi.18668