ChatGPT-4 in Neurosurgery: Improving Patient Education Materials
Existing PEMs published by the top US hospitals for common neurosurgical conditions may be too complicated for the average American that reads at an eighth-grade level. Large language model chatbots can be used to efficiently rewrite these PEMs at a lower reading level while maintaining the accuracy of the material.
Authors
- Clifton Houk (ORCID: https://orcid.org/0009-0002-0504-9965)
- Muhammad Jalal (ORCID: https://orcid.org/0000-0001-7117-740X)
- Aman Singh (ORCID: https://orcid.org/0000-0002-5380-8869)
- Derek Chien (ORCID: https://orcid.org/0000-0002-4474-1092)
- Rohin Singh (ORCID: https://orcid.org/0000-0001-5258-507X)
- Keerthana Danasekaran
- Adam Y. Li (ORCID: https://orcid.org/0000-0001-7654-1469)
- Avi A. Gajjar (ORCID: https://orcid.org/0000-0003-3686-9413)
- Racquel Whyte
- Nithin K. Gupta (ORCID: https://orcid.org/0000-0002-6696-8984)
- Jonathan Stone
- Aanya Sachdeva
- G. Edward Vates
Institutions
- Campbell University (US)
- University of Rochester (US)
- Albany Medical Center Hospital (US)
Publication Details
- Journal
- Neurosurgery
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1227/neu.0000000000003606
- Citations
- 2
- Primary Topic
- Health Literacy and Information Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 5.63