Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
566-03-005 ISMRM Abstract

Predicting Drug-Resistant Epilepsy Using Artificial Intelligence and Neuroimaging

Primary: Interventional - MR-Guided Interventions
Secondary: Analysis Methods - Classification and Prediction
566-03-005 · Radiomics Potpourri · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row G
Keywords: Neuroimaging Artificial Intelligence Prediction Drug-Resistant Epilepsy
Accepted
Mohamad Nazem-Zadeh 1, Richard Shek-kwan Chang1, Sarah Barnard1, Heath Pardoe2, Ruben Kuzniecky3, Duong Nhu4, Deval Metha4, Daniel Thom1, Zhibin Chen5, Zongyuan Ge4, Terence J O'Brien1,6, Ben Sinclair5, Meng Law5, Patrick Kwan6
1Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Australia
2Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
3Northwell Health, New York, United States of America
4Monash Medical AI, Faculty of Information Technology, Monash University, Melbourne, Australia
5Monash University, Melbourne, Australia
6Neurology, Alfred Hospital, Melbourne, Australia
Presenting Author: Mohamad Nazem-Zadeh

Synopsis

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References

1. Kwan P, Brodie MJ. Early identification of refractory epilepsy. N Engl J Med. 2000;342(5):314–319. doi:10.1056/NEJM200002033420503 [doi]
2. Chen Z, Brodie MJ, Liew D, Kwan P. Treatment outcomes in patients with newly diagnosed epilepsy. JAMA Neurol. 2018;75(3):279–286. doi:10.1001/jamaneurol.2017.3949 [doi]
3. Bernasconi A, Cendes F, Theodore WH, et al. Recommendations for the use of structural MRI in the care of patients with epilepsy. Epilepsia. 2019;60(6):1054–1068. doi:10.1111/epi.15612 [doi]
4. Caciagli L, Wandschneider B, Koepp MJ, Bernhardt BC. Functional network alterations and their structural substrate in drug-resistant epilepsy. Front Neurosci. 2014;8:411. doi:10.3389/fnins.2014.00411 [doi]
5. Tavakol S, Royer J, Lowe AJ, et al. Neuroimaging and connectomics of drug-resistant epilepsy at multiple scales: from focal lesions to macroscale networks. Epilepsia. 2020;61(6):1221–1233. doi:10.1111/epi.14688 [doi]
6. Pedregosa F, Varoquaux G, Gramfort A, et al. Scikit-learn: Machine learning in Python. J Mach Learn Res. 2011;12:2825–2830.
7. Hakeem H, Chen Z, Walters M, et al. Development and validation of a deep learning model for predicting treatment response in newly diagnosed epilepsy. JAMA Neurol. 2022;79(10):1031–1041.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/566-03-005