Evaluation of Glaucoma Treatment Information on Social Media Using Large Language Models
Although glaucoma experts and artificial intelligence (AI)-based systems were in moderate agreement when evaluating the quality of posts, the LLM was less able to discriminate posts of low quality.
Authors
- David J. Ramsey (ORCID: https://orcid.org/0000-0002-5504-812X)
- Paul R. Cotran
- Amer Mosa Alwreikat
- Kathryn Moynihan Ramsey (ORCID: https://orcid.org/0000-0002-0691-7835)
- Ashwin P. Verghese (ORCID: https://orcid.org/0009-0002-1258-6363)
- Ying Jiang (ORCID: https://orcid.org/0009-0005-5032-7241)
- Anuradha Bulusu
- Michael Lee Cooper
Institutions
- Northwestern University (US)
- Tufts University (US)
- Lahey Hospital and Medical Center (US)
Publication Details
- Journal
- Journal of Glaucoma
- Published
- 2025-12-11
- DOI
- https://doi.org/10.1097/ijg.0000000000002673
- Citations
- 1
- Primary Topic
- Health Literacy and Information Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 2.82