EYE-Llama, an in-domain large language model for ophthalmology
Summary: Training large language models (LLMs) on domain-specific data enhances their performance, yielding more accurate and reliable question-answering (Q&A) systems that support clinical decision-making and patient education. We present EYE-Llama, pretrained on ophthalmology-focused datasets,...
Saved in:
| Main Authors: | Tania Haghighi, Sina Gholami, Jared Todd Sokol, Enaika Kishnani, Adnan Ahsaniyan, Holakou Rahmanian, Fares Hedayati, Theodore Leng, Minhaj Nur Alam |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
|
| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004225012453 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Undergraduate ophthalmology education according to International Council of Ophthalmology guidelines: A systematic review
by: Krungkraipetch, Luksanaporn, et al.
Published: (2025-04-01) -
Tele-ophthalmology as an effective triaging tool for acute ophthalmic concerns
by: Natalie A. Townsend, et al.
Published: (2025-01-01) -
Saunders Ophthalmology Word Book /
by: Adams, Joyce
Published: (1991) -
Paediatric ophthalmology - What every GP should know
by: P. Roux
Published: (2006-05-01) -
Tele-Ophthalmology: An Overview
by: Purvi Bhagat, et al.
Published: (2023-04-01)