Leveraging Large Language Models to Derive Multiple Sclerosis Progression Assessments from Clinical Notes: A Feasibility Study
Sy Hwang, Sunil Thomas, Heather Williams, Tom Hutchinson, Emily Schriver, Ashley Batugo, Amit Bar-Or, Vishakha Sharma, Frederik Buijs, Christopher M. Perrone, Danielle L. Mowery · 2025
Ascertainment of multiple sclerosis (MS) progression is important for informing clinical care decisions and supporting biomedical research. However, the details to infer a patient's MS progression status are locked within clinical notes. In this feasibility study, we assessed the feasibility of developing and validating a large language model (LLM)-based EDSS and FS classifier for ascertaining MS progression from clinical notes.