Identifying epilepsy surgery candidates with natural language processing: A systematic review.

Area of Science:

• Neurology
• Medical Informatics

Background:

• Epilepsy surgery is an underutilized treatment for drug-resistant epilepsy.
• Natural language processing (NLP) may help identify suitable candidates for epilepsy surgery evaluation.
• The feasibility of using NLP for this purpose requires further investigation.

Conclusions:

• NLP presents a promising approach for identifying patients suitable for epilepsy surgery evaluation.
• Further research with diverse datasets and analytical methods is recommended.
• Studies evaluating the real-world impact of implementing NLP algorithms are beneficial.