Published on in Vol 13 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/55123, first published
.

Journals
- Keikhosrokiani P, Isomursu M, Uusimaa J, Kortelainen J. A sustainable artificial-intelligence-augmented digital care pathway for epilepsy: Automating seizure tracking based on electroencephalogram data using artificial intelligence. DIGITAL HEALTH 2024;10 View
- Nepal G, Yadav J, Lamsal S, Ojha R. Pragmatic strategies for improving prevention, diagnosis, and treatment of epilepsy in low- and middle-income countries. Epilepsy Research 2025;215:107586 View
- Keikhosrokiani P, Annunen J, Komulainen-Ebrahim J, Kortelainen J, Kallio M, Vieira P, Isomursu M, Uusimaa J. Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility Study from the Perspectives of Health Care Professionals. JMIR Human Factors 2025;12:e59558 View
Conference Proceedings
- Khan Q, Keikhosrokiani P. 2025 IEEE Conference on Artificial Intelligence (CAI). Ensemble Learning-Based Seizure Classification with Quality Assurance and Regulatory Alignment in AI-Driven Healthcare View
