Xuguang Ai
Regenstrief Institute
Indianapolis, IN 46202
I am a data scientist at Regenstrief Institute in Indianapolis, IN. Previously, I was a data scientist & software engineer in the Department of Biomedical Informatics & Data Science at Yale University, where I had the great privilege of working with Qingyu Chen and Hua Xu. I hold a Master’s degree in Physics and a Master’s degree in Data Science from the University of Kentucky, where I was fortunate to be advised by Ramakanth Kavuluru during my second Master’s.
My research focuses on advancing AI in healthcare, particularly in:
- End-to-end information extraction
- Ophthalmology-specific (multimodal) LLMs
- RAG and agent systems in healthcare
- AI development leveraging real-world data (RWD) and real-world evidence (RWE), such as the OMOP Common Data Model
news
| Dec 26, 2025 | Our paper Benchmarking LLMs for Ophthalmology (BELO): An Expert-Curated Dataset and Evaluation Framework for Knowledge and Reasoning accepted at Ophthalmology Science is now online! |
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| Oct 23, 2025 | Excited to share that our paper AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning has been published in Nature Communications! |
| Jul 31, 2025 | Excited to share that our paper Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models has been published in JAMA Ophthalmology! |
selected publications
- Nature CommsAgentmd: Empowering language agents for risk prediction with large-scale clinical tool learningNature Communications, 2025
- JAMA OphthalmologyOphthalmological question answering and reasoning using OpenAI o1 vs other large language modelsJAMA ophthalmology, 2025
- Nature CommsBenchmarking large language models for biomedical natural language processing applications and recommendationsNature communications, 2025