activity
20242026
collaborators

6 papers

cs.HC2026

"Do I Trust the AI?" Towards Trustworthy AI-Assisted Diagnosis: Understanding User Perception in LLM-Supported Reasoning

Yuansong Xu, Yichao Zhu, Haokai Wang +7

Large language models (LLMs) have shown considerable potential in supporting medical diagnosis. However, their effective integration into clinical workflows is hindered by physicia…

cs.HC2026

CaseMaster: Designing and Evaluating a Probe for Oral Case Presentation Training with LLM Assistance

Yang Ouyang, Yuansong Xu, Chang Jiang +3

Preparing an oral case presentation (OCP) is a crucial skill for medical students, requiring clear communication of patient information, clinical findings, and treatment plans. How…

cs.HC2026

When Seconds Count: Designing Real-Time VR Interventions for Stress Inoculation Training in Novice Physicians

Shuhao Zhang, Jiahe Dong, Haoran Wang +2

Surgical emergencies often trigger acute cognitive overload in novice physicians, impairing their decision-making under pressure. Although Virtual Reality-based Stress Inoculation…

cs.HC2025

HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery

Haoran Jiang, Shaohan Shi, Yunjie Yao +2

Modern scientific discovery faces growing challenges in integrating vast and heterogeneous knowledge critical to breakthroughs in biomedicine and drug development. Traditional hypo…

cs.HC2025

Advancing Problem-Based Learning with Clinical Reasoning for Improved Differential Diagnosis in Medical Education

Yuansong Xu, Yuheng Shao, Jiahe Dong +3

Medical education increasingly emphasizes students' ability to apply knowledge in real-world clinical settings, focusing on evidence-based clinical reasoning and differential diagn…

cs.HC2024

Medillustrator: Improving Retrospective Learning in Physicians' Continuous Medical Education via Multimodal Diagnostic Data Alignment and Representation

Yuansong Xu, Jiahe Dong, Yijie Fan +5

Continuous Medical Education (CME) plays a vital role in physicians' ongoing professional development. Beyond immediate diagnoses, physicians utilize multimodal diagnostic data for…