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

Learning Objectives:

1. Assess the incremental diagnostic value of specific Natural Language Processing (NLP)-derived biomarkers compared to traditional neuropsychological tests in the context of neurodegenerative disorders.

2. Critique the primary limitations of current NLP models in neuropsychology, focusing on algorithmic bias related to social determinants of health, data representativeness, and key ethical considerations for clinical implementation.

Wolff, B. (2025). Artificial intelligence and natural language processing in modern clinical neuropsychology: A narrative review. The Clinical Neuropsychologist, 1–25. https://doi.org/10.1080/13854046.2025.2547934

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