Evolving Consultation: Enhancing Ophthalmic Diagnostic Performance Using Large Language Model
Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
Authors
- Ai Fujita Sajiki (ORCID: https://orcid.org/0000-0001-7474-9194)
- Hikaru Ota (ORCID: https://orcid.org/0009-0004-3052-9391)
- Kenya Yuki
- Koji M. Nishiguchi (ORCID: https://orcid.org/0000-0001-5987-4421)
- Hiroaki Ushida (ORCID: https://orcid.org/0000-0001-6550-075X)
- Ryo Tomita (ORCID: https://orcid.org/0000-0003-3935-9283)
- Yosuke Taki (ORCID: https://orcid.org/0009-0002-9524-8115)
- Ayana Suzumura (ORCID: https://orcid.org/0000-0001-5013-8604)
- Taiga Inooka (ORCID: https://orcid.org/0000-0003-1912-5316)
- Jun Takeuchi (ORCID: https://orcid.org/0000-0002-8998-1102)
- Hideyuki Shimizu (ORCID: https://orcid.org/0000-0002-1349-9483)
- Taro Kominami (ORCID: https://orcid.org/0009-0000-0612-2576)
- Sayuri Yasuda
Institutions
- Nagoya University (JP)
Publication Details
- Journal
- Ophthalmology Science
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1016/j.xops.2025.101004
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science