Gao, Junyi

Auditing medical multi-agent AI reveals risks of false consensus

Zhu, Y., Gu, L., Wang, Z., Sang, H., Sui, D., Tang, W., Mi, L., Wang, Y., Gao, J., Yao, L., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 17

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data

Zhu, Y., Wang, Z., Gao, J., Tong, Y., An, J., Liao, W., Harrison, E. M., Ma, L., & Pan, C. (2024) · arXiv

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 8

Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics

Zhu, Y., Sui, D., Wang, Z., Hu, X., Gu, L., Qi, Y., Wu, T., Wang, L., Wei, Y., Tang, W., et al. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 3