MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. - Rui Yang 016; Qingcheng Zeng; Keen You; Yujie Qiao; Lucas Huang; Chiachun Hsieh; Benjamin Rosand; Jeremy Goldwasser; Amisha D. Dave; Tiarnan D. L. Keenan; Emily Y. Chew; Dragomir Radev; et al. (CoRR, 2023)

MedCalc-Bench: Evaluating Large Language Models for Medical Calculations. - Nikhil Khandekar; Qiao Jin 001; Guangzhi Xiong; Soren Dunn; Serina S. Applebaum; Zain Anwar; Maame Sarfo-Gyamfi; Conrad W. Safranek; Abid A Anwar; Andrew Zhang; Aidan Gilson; Maxwell B. Singer; et al. (NeurIPS, 2024)

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)

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)