Towards Next-Generation Healthcare: A Survey of Medical Embodied AI for Perception, Decision-Making, and Action
A new survey paper published on arXiv explores the integration of embodied artificial intelligence (AI) into healthcare. The paper highlights the limitations of current foundation models in perceiving and interacting with the physical world, which is crucial for real-world clinical applications. It proposes embodied AI as a solution for agents to operate effectively in complex medical environments by coordinating perception, decision-making, and action. The survey also reviews existing medical applications, datasets, and challenges, while outlining future research directions. AI
IMPACT This survey highlights the potential of embodied AI to overcome limitations of current foundation models in physical interaction for healthcare applications.