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June 13, 2026Neurology

Large Language Models in Epilepsy Care: A Systematic Review of Current Applications (P2-11.002)

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This review aims to assess the applications and performance of large language models in the context of epilepsy care.
Conducted a systematic review of current literature on large language models used in epilepsy care
Analyzed applications concerning diagnosis, prognosis, and treatment decisions
Identified various applications of LLMs that assist in diagnosing epilepsy
Demonstrated promising results in predicting prognosis and informing treatment decisions

Implication

Systematic review evaluates large language models for diagnosis, prognosis, and treatment in epilepsy care, indicating their potential impact.

Abstract

To evaluate the current applications and performance of large language models (LLMs) in epilepsy care, including diagnosis, prognosis, and treatment decisions, through a systematic review.

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Cite This Study

Venkatesh et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf300faef96ed7f05587b https://doi.org/10.1212/wnl.0000000000216289

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Implication

Systematic review evaluates large language models for diagnosis, prognosis, and treatment in epilepsy care, indicating their potential impact.

Abstract

To evaluate the current applications and performance of large language models (LLMs) in epilepsy care, including diagnosis, prognosis, and treatment decisions, through a systematic review.

Large Language Models in Epilepsy Care: A Systematic Review of Current Applications (P2-11.002)

Key Points

Implication

Abstract

Discussion

Cite This Study

Large Language Models in Epilepsy Care: A Systematic Review of Current Applications (P2-11.002)

Key Points

Implication

Abstract

Discussion

Cite This Study

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