Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60063, first published .
EyeGPT for Patient Inquiries and Medical Education: Development and Validation of an Ophthalmology Large Language Model

EyeGPT for Patient Inquiries and Medical Education: Development and Validation of an Ophthalmology Large Language Model

EyeGPT for Patient Inquiries and Medical Education: Development and Validation of an Ophthalmology Large Language Model

Journals

  1. Zhao Z, Zhang W, Chen X, Song F, Gunasegaram J, Huang W, Shi D, He M, Liu N. Slit Lamp Report Generation and Question Answering: Development and Validation of a Multimodal Transformer Model with Large Language Model Integration. Journal of Medical Internet Research 2024;26:e54047 View
  2. Chen X, Xiang J, Lu S, Liu Y, He M, Shi D. Evaluating large language models and agents in healthcare: key challenges in clinical applications. Intelligent Medicine 2025 View
  3. Xu P, Wu Y, Jin K, Chen X, He M, Shi D. DeepSeek-R1 Outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in Bilingual Complex Ophthalmology Reasoning. Advances in Ophthalmology Practice and Research 2025 View
  4. Xu K, Chen X, Liu B, Jin K, He M, Shi D. Digital twins in ophthalmology: Concepts, applications, and challenges. Asia-Pacific Journal of Ophthalmology 2025:100205 View