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

DesignBridge: Bridging Designer Expertise and User Preferences through AI-Enhanced Co-Design for Fashion

Yuheng Shao, Yuansong Xu, Yifan Jin +3

Effective collaboration between designers and users is important for fashion design, which can increase the user acceptance of fashion products and thereby create value. However, i…

cs.HC2025

ReviseMate: Exploring Contextual Support for Digesting STEM Paper Reviews

Yuansong Xu, Shuhao Zhang, Yijie Fan +3

Effectively assimilating and integrating reviewer feedback is crucial for researchers seeking to refine their papers and handle potential rebuttal phases in academic venues. Howeve…

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…