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Clinical application of artificial intelligence technology in epilepsy
Qi Ren1,2, Yan Zhang1,2, Xiaohong Deng2
1Affiliated Baotou Clinical College of Inner Mongolia Medical University, Baotou, Inner Mongolia, 014040, People's Republic of China.
Acta Epileptologica
|August 9, 2026
Summary
Artificial intelligence (AI) is revolutionizing epilepsy care by improving early diagnosis, seizure prediction, and personalized treatment. This review explores AI
Area of Science:
- Neurology
- Artificial Intelligence
- Medical Technology
Background:
- Epilepsy presents diagnostic and treatment challenges due to its complexity and patient variability.
- Artificial intelligence (AI) offers transformative potential in managing neurological disorders like epilepsy.
Purpose of the Study:
- To review the current clinical applications of AI in epilepsy.
- To identify emerging trends in AI for epilepsy diagnosis and management.
- To provide practical insights for clinicians.
Main Methods:
- Literature review of AI applications in epilepsy care.
- Analysis of AI's role in diagnosis, prediction, treatment, and management.
- Synthesis of current status and future directions.
Main Results:
- AI is being applied across key areas: early diagnosis, seizure prediction, individualized treatment, and long-term disease management.
- Significant advancements are noted in leveraging AI for epilepsy patient care.
Conclusions:
- AI is a paradigm shift in epilepsy management, offering improved clinical outcomes.
- Future trends indicate a growing integration of AI tools for comprehensive epilepsy care.
