Exploring the Integration of AI into the field of Epilepsy: Balu Krishnan, MD

WATCH TIME: 5 minutes

"There is no magic bullet to epilepsy. It’s like a jigsaw puzzle—multiple modalities have to come together to form a complete picture of the patient."

The rise of artificial intelligence (AI) is apparent across nearly every major industry, and usage of the technology continues to increase. Through surveys, it’s estimated that over 20% of US employees use some form of AI to assist with their job and about 11% globally, 900 million people, use AI for personal or professional reasons.^1,2 Its rapid adoption is transforming how work is done, from automating routine tasks to enhancing decision-making.

For epilepsy care specifically, AI has shown an early positive impact, assisting in diagnostics, monitoring, and treatment planning. Machine-learning models can now analyze EEG recordings with speed and consistency that rival expert review, improving seizure detection and enabling earlier, more accurate diagnoses. AI-driven wearable devices and implantable neurostimulators can forecast seizures and personalize therapy by adapting stimulation or medication strategies to individual patients. These tools allow clinicians to optimize medication choices, adjust therapy regimens, and develop long-term care strategies that are specifically suited to each patient’s seizure patterns.

At the 2025 American Epilepsy Society (AES) Annual Meeting, held December 5-9, in Atlanta, Georgia, the continued use of cutting-edge technology in the field of epilepsy was a central focus. Balu Krishnan, MD, a neuroscientist at the Cleveland Clinic Epilepsy Center who works directly with these evolving technologies, shared his insights in an exclusive interview with NeurologyLive®, offering a firsthand perspective on how these tools are transforming diagnosis, monitoring, and patient management in the field.

In this interview, the associate professor discussed the rapid expansion of AI research in epilepsy, highlighting how its applications have evolved beyond seizure detection to include medication management, neuroimaging, and broader data integration. He also described where AI is already being applied in epilepsy care and what aspects of this growing field he finds most promising.

Click here for more AES 2025 coverage.

REFERENCES
1. Siddi Naik. Global AI Users (2025) Insights on 900 Million Active Users. Resourcera. September 12, 2025. Asccessed December 15, 2025. https://resourcera.com/data/artificial-intelligence/ai-users/?utm_source=chatgpt.com
2. Luona Lin. About 1 in 5 U.S. workers now use AI in their job, up since last year. Pew Research Center. October 6, 2025. Accessed December 15, 2025