Yankai Jiang

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About

Yankai Jiang is a leading researcher at the intersection of artificial intelligence and healthcare, with a primary focus on embodied AI—systems that can perceive, reason, and act within physical environments. His most impactful work, the comprehensive survey "From Screens to Scenes: A Survey of Embodied AI in Healthcare" (2025), has already garnered over 35 citations, establishing it as a foundational reference in this emerging field. In this landmark paper, Jiang systematically maps how AI agents transition from digital interfaces to real-world clinical settings, addressing critical challenges in robotic surgery, patient monitoring, and rehabilitation. By synthesizing advances in computer vision, natural language processing, and robotics, he provides a roadmap for deploying AI that can physically interact with patients and medical environments. His contributions are particularly notable for bridging the gap between theoretical AI research and practical healthcare applications, offering clear frameworks for evaluating safety, ethics, and efficacy. Jiang’s work is essential reading for students and researchers exploring how intelligent machines can move beyond screens to transform patient care, making him a pivotal voice in shaping the future of embodied medicine.