Large Language Models to Infer Depression in Patients with Neurological Conditions: Applications and Limitations (P2-1.006)
To develop a large language model (LLM) prompt capable of inferring a patient’s categorization of depression from a singular clinical note written by their multiple sclerosis (MS) neurologist.
Authors
- Jaeleene Wijangco (ORCID: https://orcid.org/0009-0006-1561-6547)
- Shane T. Poole (ORCID: https://orcid.org/0000-0002-3203-151X)
- Riley M. Bove (ORCID: https://orcid.org/0000-0002-2034-8800)
- Chu‐Yueh Guo (ORCID: https://orcid.org/0000-0002-5730-7770)
- Nikki Sisodia (ORCID: https://orcid.org/0009-0006-7270-595X)
- Kyra Henderson (ORCID: https://orcid.org/0009-0006-8350-0474)
- Maya Julian-Kwong
Institutions
- University of California, San Francisco (US)
- University of California San Francisco Medical Center (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000212379
- Citations
- 1
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 2.44