AIMC Journal:
The Clinical neuropsychologist

Showing 1 to 3 of 3 articles

When psychological signals meet neurological disability: An explainable XGBoost study of dissociative symptoms in people with multiple sclerosis.

The Clinical neuropsychologist
Objective: This study examined whether psychoform and somatoform dissociation, assessed with the Dissociative Experiences Scale-II (DES-II) and the Somatoform Dissociation Questionnaire-20 (SDQ-20), provide incremental predictive information for disa...

Artificial intelligence in neuropsychological practice-tool selection, privacy, and billing guidance.

The Clinical neuropsychologist
Objective: AI is rapidly transforming healthcare, yet its integration into clinical neuropsychology remains limited and uneven. This paper explores the current landscape of AI tools applicable to neuropsychological practice and provides practical gui...

Speech production as an artificial intelligence-based 'process' measure of cognition sensitive to mild cognitive impairment and Alzheimer's disease.

The Clinical neuropsychologist
Process scores in neuropsychological tests add incremental validity for detecting non-normative cognitive aging trajectories. However, process scores are laborious and time-consuming to derive. Using AI-driven natural language processing, we investi...