Development and validation of clinico‐imaging machine learning and deep learning models to predict responses to initial antiseizure medications in epilepsy
AI-based models incorporating brain MRI, clinical, and medication data can efficiently predict seizure freedom in recently diagnosed epilepsy. They may enhance treatment selection in epilepsy and offer a foundation for clinical decision support systems. Further validation in larger cohorts is warranted.
Authors
- Zongyuan Ge (ORCID: https://orcid.org/0000-0002-5880-8673)
- Sarah Barnard (ORCID: https://orcid.org/0000-0003-0517-2533)
- Terence John O'Brien (ORCID: https://orcid.org/0000-0002-7198-8621)
- Meng Law (ORCID: https://orcid.org/0000-0001-8414-1991)
- Mohammad‐Reza Nazem‐Zadeh (ORCID: https://orcid.org/0000-0001-6831-1815)
- Jacqueline A. French (ORCID: https://orcid.org/0000-0003-2242-8027)
- Daniel Thom (ORCID: https://orcid.org/0000-0002-8939-2885)
- Hadi Kamkar (ORCID: https://orcid.org/0000-0002-2020-3361)
- Benjamin Sinclair (ORCID: https://orcid.org/0000-0002-0850-3644)
- Richard Shek‐kwan Chang (ORCID: https://orcid.org/0000-0002-9346-3877)
- Patrick Kwan (ORCID: https://orcid.org/0000-0001-7310-276X)
- Heath Pardoe (ORCID: https://orcid.org/0000-0002-0123-2167)
- Debabrata Mishra (ORCID: https://orcid.org/0000-0001-9685-1886)
- Duong Nhu (ORCID: https://orcid.org/0000-0001-9021-9716)
- Ruben Kuzniecky (ORCID: https://orcid.org/0000-0002-3170-150X)
- Zhibin Chen (ORCID: https://orcid.org/0000-0002-1888-6917)
- Deval Metha
Institutions
- Northwell Health (US)
- The Royal Melbourne Hospital (AU)
- Tarbiat Modares University (IR)
- Florey Institute of Neuroscience and Mental Health (AU)
- Monash Medical Centre (AU)
- NYU Langone Health (US)
- Monash Health (AU)
- Alfred Health (AU)
- Monash University (AU)
- Monash Institute of Medical Research (AU)
- Tehran University of Medical Sciences (IR)
Publication Details
- Journal
- Epilepsia
- Published
- 2025-10-24
- DOI
- https://doi.org/10.1111/epi.18668
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Defense
- Nvidia
- Jazz Pharmaceuticals
- LivaNova
- ACADIA Pharmaceuticals
- SK Life Science
- Eisai
- National Institutes of Health
- National Health and Medical Research Council
- National Institute of Neurological Disorders and Stroke
- UCB Pharma