Use of a Large Language Model to Create a Neuropsychological Data Set From the Medical Record
Open Access
- 1 December 2026
- journal article
- Published by Wolters Kluwer Health in Neurology Open Access
- Vol. 2 (4) , e000180
Abstract
Background and ObjectivesNeuropsychological evaluations are essential for understanding cognitive dysfunction in multiple sclerosis (MS), but data embedded in narrative electronic health record (EH...Keywords
This publication has 36 references indexed in Scilit:
- Detecting New Lesions Using a Large Language Model: Applications in Real‐World Multiple Sclerosis DatasetsAnnals of Neurology, 2025
- Natural language processing‐based classification of early Alzheimer's disease from connected speechAlzheimer's & Dementia, 2025
- Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language modelsAlzheimer's & Dementia, 2024
- Lived experience of persons with multiple sclerosis: A qualitative interview studyBrain and Behavior, 2023
- Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approachAlzheimer's & Dementia, 2022
- Sleep disturbance and memory dysfunction in early multiple sclerosisAnnals of Clinical and Translational Neurology, 2021
- Cognitive impairment in multiple sclerosis: diagnosis and monitoringNeurological Sciences, 2021
- Treatment of Multiple Sclerosis: A ReviewThe American Journal of Medicine, 2020
- Treatment adherence in multiple sclerosis: association with emotional status, personality, and cognitionJournal of Behavioral Medicine, 2010
- Clinical outcome measures in multiple sclerosisJournal of the Neurological Sciences, 2007