Minghua Wu

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About

Minghua Wu is a pioneering researcher at the intersection of artificial intelligence and healthcare, whose work is redefining how AI systems interact with the physical world. His primary research areas include embodied AI, human-computer interaction, and intelligent healthcare systems, with a particular focus on bridging the gap between digital interfaces and real-world clinical applications. Wu’s most significant contribution is his comprehensive survey, "From Screens to Scenes: A Survey of Embodied AI in Healthcare," which has garnered over 35 citations since its publication in 2025. This landmark paper systematically maps the emerging field of embodied AI—robots and agents that perceive, reason, and act within healthcare environments—offering a taxonomy of applications from surgical assistance to patient monitoring. By synthesizing advances in computer vision, robotics, and natural language processing, Wu provides a foundational framework that has become essential reading for researchers and practitioners alike. His work not only highlights the transformative potential of AI that moves beyond static screens into dynamic clinical scenes but also identifies critical challenges in safety, ethics, and human-robot collaboration. Wu’s research is shaping the next generation of intelligent, context-aware healthcare technologies.