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About

Jintai Chen is at the forefront of a transformative shift in artificial intelligence for healthcare, pioneering the integration of embodied AI and agentic large-language-model (LLM) systems. His research bridges the gap between static computational models and dynamic, real-world clinical environments, focusing on how AI can move “from screens to scenes” to actively assist in patient care. Chen’s landmark survey on embodied AI in healthcare (2025, 24 citations) provides a comprehensive roadmap for deploying AI in physical clinical settings, while his systematic review and taxonomy of agentic LLM systems (2025) charts the rapid evolution of LLMs from passive responders to collaborative, planning-capable agents. This work is particularly notable for its timeliness—capturing a paradigm shift in less than three years—and its practical implications for clinical decision support and care coordination. Chen’s contributions are shaping how next-generation AI systems can adapt to complex medical workflows, offering a vision where intelligent agents work alongside clinicians to improve outcomes. His research is essential reading for anyone interested in the future of AI-driven medicine.