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;5(2):151 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;5(3):189 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
  5. Qiu Y, Chen X, Wu X, Li Y, Xu P, Jin K, Shang X, Chotcomwongse P, He M, Shi D. Embodied artificial intelligence in ophthalmology. npj Digital Medicine 2025;8(1) View
  6. Shi D, Zhang W, Yang J, Huang S, Chen X, Xu P, Jin K, Lin S, Wei J, Yusufu M, Liu S, Zhang Q, Ge Z, Xu X, He M. A multimodal visual–language foundation model for computational ophthalmology. npj Digital Medicine 2025;8(1) View
  7. Yao G, Zhang W, Zhu Y, Wong U, Zhang Y, Yang C, Shen G, Li Z, Gao H. Comparing the accuracy of large language models and prompt engineering in diagnosing realworld cases. International Journal of Medical Informatics 2025;203:106026 View
  8. Akhlaq A, Liu T. Text-to-Video Generation—A Cutting-Edge Generative AI Application. JAMA Ophthalmology 2025;143(8):632 View
  9. Angyal V, Bertalan Á, Domján P, Dinya E. Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening. BMC Medical Informatics and Decision Making 2025;25(1) View
  10. Wei J, Wang X, Huang M, Xu Y, Yang W. Evaluating the Performance of ChatGPT on Board-Style Examination Questions in Ophthalmology: A Meta-Analysis. Journal of Medical Systems 2025;49(1) View
  11. Yan Z, Fan K, Zhang Q, Wu X, Chen Y, Wu X, Yu T, Su N, Zou Y, Chi H, Xia L, Cao Q. Comparative analysis of the performance of the large language models DeepSeek-V3, DeepSeek-R1, open AI-O3 mini and open AI-O3 mini high in urology. World Journal of Urology 2025;43(1) View
  12. Yang H, Li M, Zhou H, Xiao Y, Fang Q, Zhou S, Zhang R. Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study. Journal of Medical Internet Research 2025;27:e70080 View
  13. Chen X, Chen R, Xu P, Wan X, Zhang W, Yan B, Shang X, He M, Shi D. From visual question answering to intelligent AI agents in ophthalmology. British Journal of Ophthalmology 2025:bjo-2024-326097 View
  14. Fareed M, Fatima M, Uddin J, Ahmed A, Sattar M. A systematic review of ethical considerations of large language models in healthcare and medicine. Frontiers in Digital Health 2025;7 View
  15. Kilinc M, Gurcan F, Soylu A. LLM-Based Generative AI in Medicine: Analysis of Current Research Trends With BERTopic. IEEE Access 2025;13:157026 View
  16. Miao Y, Zhao Y, Luo Y, Wang H, Wu Y. Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review. Journal of Medical Internet Research 2025;27:e80557 View
  17. Wu Y, Chen X, Zhang W, Liu S, Sum W, Wu X, Shang X, Kee C, He M, Shi D. ChatMyopia: An AI agent for myopia-related consultation in primary eye care settings. iScience 2025;28(11):113768 View
  18. Yang S, Jing M, Wang S, Huang Z, Wang J, Kou J, Shi M, Xia Z, Wei Q, Xing W, Hu Y, Zhu Z. Building trustworthy large language model-driven generative recommender system for healthcare decision support: A scoping review of corpus sources, customization techniques, and evaluation frameworks. Artificial Intelligence in Medicine 2026;171:103310 View
  19. Xu Y, Jia H, Wang M, Feng J, Xu X, Wang H, Chen J, Zheng Z, Yang X, Shen Y, Wang J, Zhuang C, Wei P, Guo R, Zhao X, Fan J, Sun X. Enhancing clinical documentation with voice processing and large language models: a study on the LAOS system. npj Digital Medicine 2025 View