Yiliang Zhou | UC Irvine

I am a Ph.D. student in Informatics at UC Irvine. My research focuses on evaluating medical language and multimodal models and developing methods to extract clinical information, identify disease mentions, and detect errors in clinical documentations.

My work examines the reliability of AI in clinical settings, from GPT-4V’s detection of findings on chest radiographs and the reasoning behind its medical predictions to how clinicians refine uncertainty in AI-generated documentation.

I also work on models and datasets for clinical NLP, including EvidenceOutcomes for extracting clinically meaningful outcomes from research literature, generative language models for detecting errors in radiology reports, and lightweight language models for disease detection.

Publications

[ | | Google Scholar ]

(^* equal contribution)

2026
Understanding Stigmatizing Language in Clinical Documentation: A Paired Comparison of Ambient AI Drafts and Clinician Finalized Notes
Yiliang Zhou, Yawen Guo, Sairam Sutari, et al., Kai Zheng
AMIA Annual Symposium · Accepted; preprint
2026
Examine Clinicians’ Modification of Hedging Language in Ambient AI Documentation: A Comparative Study of AI Drafts and Final Notes
Yiliang Zhou, Yawen Guo, Di Hu, et al., Kai Zheng
AMIA Annual Symposium · Accepted; preprint
2026
Understanding Clinician Edits to Ambient AI Draft Notes: A Feasibility Analysis Using Large Language Models
Yawen Guo, Yiliang Zhou, Di Hu, Sairam Sutari, Emilie Chow, Steven Tam, Danielle Perret, Deepti Pandita, Kai Zheng
AMIA Annual Symposium · Accepted; medRxiv preprint
2026
From Conversation to Chart: An Analysis of Clinician Edits to Ambient AI Draft Notes
Yawen Guo, Di Hu, Yiliang Zhou, Tianchu Lyu, Sairam Sutari, Steven Tam, Emilie Chow, Danielle Perret, Deepti Pandita, Kai Zheng
medRxiv · Preprint
2026
Establishing Dermatopathology Encyclopedia DermpathNet with Artificial Intelligence-Based Workflow
Ziyang Xu^*, Mingquan Lin^*, Yiliang Zhou, Zihan Xu, Seth J. Orlow, Shane A. Meehan, Alexandra Flamm, Ata S. Moshiri, Yifan Peng
Scientific Data · 13:368
2026
Applying Natural Language Processing and Large Language Models to Clinical Notes for Phenotyping and Diagnosing Rare Diseases: A Systematic Review
Seungjun Kim, Yiliang Zhou, Yawen Guo, Changrui Xiao, Kai Zheng
JAMIA · 33(6):1225–1235
2026
A Scoping Review of Studies on Secure Messaging through Patient Portals: Persistent Challenges and Potential Solutions
Yawen Guo, Di Hu, Yiliang Zhou, Tianchu Lyu, Ziqi Yang, Tera L. Reynolds, Kai Zheng
npj Health Systems
2025
Enhancing Health Fact-Checking with LLM-Generated Synthetic Data
Jingze Zhang, Jiahe Qian, Yiliang Zhou, Yifan Peng
arXiv:2508.20525 · Preprint
2025
EvidenceOutcomes: A Dataset of Clinical Trial Publications with Clinically Meaningful Outcomes
Yiliang Zhou^*, Abigail M. Newbury^*, Gongbo Zhang, Betina Ross Idnay, Hao Liu, Chunhua Weng, Yifan Peng
MEDINFO · Studies in Health Technology and Informatics, 329:723–727
2025
Enhancing Disease Detection in Radiology Reports Through Fine-tuning Lightweight LLM on Weak Labels
Yishu Wei, Xindi Wang, Hanley Ong, Yiliang Zhou, Adam Flanders, George Shih, Yifan Peng
AMIA Joint Summits on Translational Science Proceedings · 614–623
2025
Deciphering Genomic Codes Using Advanced Natural Language Processing Techniques: A Scoping Review
Shuyan Cheng, Yishu Wei, Yiliang Zhou, Zihan Xu, Drew N. Wright, Jinze Liu, Yifan Peng
JAMIA · 32(4):761–772
2025
Generative Large Language Models Trained for Detecting Errors in Radiology Reports
Cong Sun^*, Kurt Teichman^*, Yiliang Zhou, Brian Critelli, David Nauheim, Graham Keir, Xindi Wang, Judy Zhong, Adam E. Flanders, George Shih, Yifan Peng
Radiology · 315(2):e242575
2025
A Systematic Review of Early Evidence on Generative AI for Drafting Responses to Patient Messages
Di Hu, Yawen Guo, Yiliang Zhou, Lidia Flores, et al., Kai Zheng
npj Health Systems · 2:27
2025
Computational Use of Patient–Provider Secure Messaging Data to Achieve Better Clinical Efficiency and Quality of Communication: A Systematic Review
Yawen Guo, Di Hu, Yiliang Zhou, Tianchu Lyu, Kai Zheng
AMIA Annual Symposium Proceedings
2025
Understanding Stigmatizing Language Lexicons: A Comparative Analysis in Clinical Contexts
Yiliang Zhou, Di Hu, Tianchu Lyu, Jasmine Dhillon, Alexandra L. Beck, Gelareh Sadigh, Kai Zheng
AMIA Annual Symposium Proceedings
2024
Evaluating GPT-4V (GPT-4 with Vision) on Detection of Radiologic Findings on Chest Radiographs
Yiliang Zhou, Hanley Ong, Patrick Kennedy, Carol C. Wu, Jacob Kazam, Keith Hentel, Adam Flanders, George Shih, Yifan Peng
Radiology · 311(2):e233270
2024
A Span-Based Model for Extracting Overlapping PICO Entities from Randomized Controlled Trial Publications
Gongbo Zhang, Yiliang Zhou, Yan Hu, Hua Xu, Chunhua Weng, Yifan Peng
JAMIA · 31(5):1163–1171
2024
A Natural Language Processing Approach to Detect Inconsistencies in Death Investigation Notes Attributing Suicide Circumstances
Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng
Communications Medicine · 4:199
2024
Closing the Gap Between Open-Source and Commercial Large Language Models for Medical Evidence Summarization
Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas R. Campion Jr., Zhiyong Lu, Chunhua Weng, Yifan Peng
npj Digital Medicine · 7:239
2024
Towards Long-Tailed, Multi-Label Disease Classification from Chest X-ray: Overview of the CXR-LT Challenge
Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, et al.
Medical Image Analysis · 97:103224
2024
Hidden Flaws Behind Expert-Level Accuracy of Multimodal GPT-4 Vision in Medicine
Qiao Jin, Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert Chen, Ronald M. Summers, et al.
npj Digital Medicine · 7:190

Education

University of California, Irvine

Ph.D. in Informatics

Sep 2024 – Jun 2029 (expected)

Weill Cornell Medicine, Cornell University

M.S. in Health Informatics

Sep 2022 – Aug 2023

University of Washington

B.A. in Biochemistry; Minor in Data Science

Sep 2018 – Jun 2022

Service

Reviewer: ACL, IEEE ICHI, AMIA Annual Symposium, npj Digital Medicine, Medical Physics.

Honors

School of Information & Computer Science Chair’s Award, UC Irvine, 2024