activity
20232026
most citedEnhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels

4 citations · 8 across the 11 of their papers we have counts for

collaborators

15 papers

cs.HC2026

Understanding Stigmatizing Language in Clinical Documentation: A Paired Comparison of Ambient AI Drafts and Clinician Finalized Notes

Yiliang Zhou, Yawen Guo, Sairam Sutari +9

Ambient artificial intelligence (AI) documentation tools are increasingly deployed to reduce clinician documentation burden, but their implications for biased language in clinical…

cs.HC2026

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 +6

Ambient AI documentation systems generate clinical note drafts that clinicians frequently revise before signing off into electronic health records, yet how these edits alter hedgin…

cs.CV2026

Establishing dermatopathology encyclopedia DermpathNet with Artificial Intelligence-Based Workflow

Ziyang Xu, Mingquan Lin, Yiliang Zhou +6

Accessing high-quality, open-access dermatopathology image datasets for learning and cross-referencing is a common challenge for clinicians and dermatopathology trainees. To establ…

cs.AI2025

Enhancing Health Fact-Checking with LLM-Generated Synthetic Data

Jingze Zhang, Jiahe Qian, Yiliang Zhou +1

Fact-checking for health-related content is challenging due to the limited availability of annotated training data. In this study, we propose a synthetic data generation pipeline t…

cs.CV2025

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray

Mingquan Lin, Gregory Holste, Song Wang +30

The CXR-LT series is a community-driven initiative designed to enhance lung disease classification using chest X-rays (CXR). It tackles challenges in open long-tailed lung disease…

cs.CL2025

EvidenceOutcomes: a Dataset of Clinical Trial Publications with Clinically Meaningful Outcomes

Yiliang Zhou, Abigail M. Newbury, Gongbo Zhang +4

The fundamental process of evidence extraction and synthesis in evidence-based medicine involves extracting PICO (Population, Intervention, Comparison, and Outcome) elements from b…