Artificial intelligence and natural language processing in modern clinical neuropsychology: A narrative review

Abstract

To realize NLP's potential, neuropsychologists must cultivate foundational literacy in computational linguistics, follow transparent reporting, embed privacy-preserving pipelines, and co-design explainable dashboards that contextualize machine inferences within holistic case formulations. Scaled, demographically balanced consortia and multimodal fusion with neuroimaging and wearables are priority directions. Properly implemented, NLP can render assessment more objective, efficient and equitable, positioning language as a central biomarker and integrating linguistically informed artificial intelligence to extend the reach of neuropsychological services.

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