I am a research fellow at Massachusetts General Hospital / Harvard Medical School. Previously, I was fortunate to work with Prof. Rui Zhang in medical informatics at the University of Minnesota. I received my PhD degree in Computer Science from The Hong Kong Polytechnic University in 2024, advised by Dr. Korris Chung and Dr. Xiao Huang. Before that, I obtained my Master’s degree from The Chinese University of Hong Kong (CUHK) and received my Bachelor’s degree from the medical school of Wuhan University (WHU).

My research interests include Medical Informatics, Large Language Models, AI for Healthcare, Deep Learning, and Electronic Health Records.

I am looking for remote collaborators, especially clinicians or medical students. Please feel free to drop me an email if you are interested in AI + Medicine.

Email: shuang.zhou AT connect.polyu.hk

Preprint

(# indicates equal contributions, * denotes corresponding author)

• EpiScreen: Early Epilepsy Detection from Electronic Health Records with Large Language Models
  Shuang Zhou, Kai Yu, Zaifu Zhan, Huixue Zhou, Min Zeng, Feng Xie, Zhiyi Sha, Rui Zhang
  arXiv, 2026

• OralMLLM-Bench: Evaluating Cognitive Capabilities of Multimodal Large Language Models in Dental Practice
  Rongyang Wang, Shuang Zhou^*, Jiashuo Wang, Wenya Xie, Shan Dong, Xiaoxia Che^*
  arXiv, 2026

Selected Publication

• Multimodal Artificial Intelligence Agents in Healthcare: A Scoping Review
  Kai Yu^#, Shuang Zhou^#, Yu Hou, Yiran Song, Min Zeng, Fangqiao Tian, Jin Du, Wenya Xie, Biao Yin, Feifan Liu, Jie Ding, Zirui Liu, Mingquan Lin, Rui Zhang
  npj Digital Medicine, 2026 (Impact Factor: 18)

• Automating Expert-Level Medical Reasoning Evaluation of Large Language Models
  Shuang Zhou^#, Wenya Xie^#, Jiaxi Li^#, Zaifu Zhan, Meijia Song, Han Yang, Cheyenna Espinoza, Lindsay Welton, Xinnie Mai, Yanwei Jin, Zidu Xu, Yuen-Hei Chung, Yiyun Xing, Meng-Han Tsai, Emma Schaffer, Yucheng Shi, Ninghao Liu, Zirui Liu, Rui Zhang
  npj Digital Medicine, 2025 (Impact factor: 18)

• Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis
  Shuang Zhou, Jiashuo Wang, Zidu Xu, Song Wang, David Brauer, Lindsay Welton, Jacob Cogan, Yuen-Hei Chung, Lei Tian, Zaifu Zhan, Yu Hou, Mingquan Lin, Genevieve B Melton, Rui Zhang
  npj Digital Medicine, 2025 (Impact factor: 18)

• Large Language Models for Disease Diagnosis: A Scoping Review
  Shuang Zhou^#, Zidu Xu^#, Mian Zhang^#, Chunpu Xu^#, Yawen Guo, Zaifu Zhan, Yi Fang, Sirui Ding, Jiashuo Wang, Kaishuai Xu, Liqiao Xia, Jeremy Yeung, Daochen Zha, Dongming Cai, Genevieve B. Melton, Mingquan Lin, Rui Zhang
  npj Artificial Intelligence, 2025

• Open-World Electrocardiogram Classification via Domain Knowledge-Driven Contrastive Learning
  Shuang Zhou, Xiao Huang, Ninghao Liu, Wen Zhang, Yuan-Ting Zhang, Fu-Lai Chung
  Neural Networks, 2024

• Denoising-Aware Contrastive Learning for Noisy Time Series
  Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Fu-Lai Chung
  International Joint Conference on Artificial Intelligence (IJCAI), 2024
  (Acceptance rate: 791/5651 = 14.0%, main track)

Talks

• [10/2024] Invited by Prof. Ninghao Liu to give a guest lecture “An overview of open-set recognition” for CSCI 8265: Trustworthy Machine Learning at the University of Georgia.

Services

Editorial Board Member

• npj Health Systems
• International Journal of Computational Intelligence Systems

Journal Reviewer

• npj Digital Medicine
• npj Health Systems
• Cell Reports Medicine
• Computers in Biology and Medicine
• PLOS Digital Health
• Journal of the American Medical Informatics Association
• JAMIA Open
• International Journal of Medical Informatics
• BMC Medical Informatics and Decision Making
• JCO Clinical Cancer Informatics
• Scientific Reports
• IEEE Journal of Biomedical and Health Informatics
• IEEE Transactions on Knowledge and Data Engineering
• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Neural Systems and Rehabilitation Engineering
• ACM Transactions on Knowledge Discovery from Data
• Neural Networks
• Pattern Recognition
• Knowledge-Based Systems
• Data Mining and Knowledge Discovery

Conference Reviewer

• AAAI 2023-2027
• KDD 2026-2027
• ACL 2026
• ACM MM 2026
• IEEE ICHI 2026
• AMIA Annual Symposium 2025
• AMIA Informatics Summit 2025