Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology. - Aidan Gilson; Xuguang Ai; Thilaka Arunachalam; Ziyou Chen; Ki Xiong Cheong; Amisha D. Dave; Cameron Duic; Mercy Kibe; Annette Kaminaka; Minali Prasad; Fares Siddig; Maxwell B. Singer; et al. (CoRR, 2024)

Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model. - Aidan Gilson; Xuguang Ai; Qianqian Xie; Sahana Srinivasan; Krithi Pushpanathan; Maxwell B. Singer; Jimin Huang; Hyunjae Kim; Erping Long; Peixing Wan; Luciano V. Del Priore; Lucila Ohno-Machado; et al. (CoRR, 2024)

Ophthalmic care may not align with patient need: An analysis on state-wide patient needs and provider density between 2008 and 2022. - Aidan Gilson; Qingyu Chen 001; Ron A. Adelman (Int. J. Medical Informatics, 2024)

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study. - Sahana Srinivasan; Xuguang Ai; Minjie Zou; Ke Zou; Hyunjae Kim; Thaddaeus Wai Soon Lo; Krithi Pushpanathan; Yiming Kong; Anran Li; Maxwell B. Singer; Kai Jin; Fares Antaki; et al. (CoRR, 2025)

BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning. - Sahana Srinivasan; Xuguang Ai; Thaddaeus Wai Soon Lo; Aidan Gilson; Minjie Zou; Ke Zou; Hyunjae Kim; Mingjia Yang; Krithi Pushpanathan; Samantha Min Er Yew; Wan Ting Loke; Jocelyn Hui Lin Goh; et al. (CoRR, 2025)