Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics
By: Yinghao Zhu, Dehao Sui, Zixiang Wang, Xuning Hu, Lei Gu, Yifan Qi, Tianchen Wu, Ling Wang, Yuan Wei, Wen Tang, Zhihan Cui, Yasha Wang, Lequan Yu, Ewen M Harrison, Junyi Gao, Liantao Ma
Published: 2026-02-23
View on arXiv →#cs.AI
Abstract
This paper describes an interactive and interpretable AI copilot designed to augment clinical decision-making, specifically evaluated with clinicians in nephrology and obstetrics through a real-world user study. The focus is on improving medical accuracy and trust in AI systems by providing clear, understandable insights.