MacLean P. Nasrallah
Papers
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1
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About
MacLean P. Nasrallah is a leading voice in the emerging field of agentic large-language-model (LLM) systems in medicine, where his work has helped define how artificial intelligence can move beyond passive text generation to become an active, collaborative partner in clinical care. His landmark systematic review and taxonomy, published in 2025, provides the first comprehensive framework for understanding how LLMs can plan, act, and coordinate with other agents in medical settings—a contribution that has already garnered significant attention and shaped subsequent research. By mapping the capabilities and limitations of these systems, Nasrallah has laid the groundwork for AI that can assist clinicians in complex decision-making, streamline care coordination, and adapt to dynamic healthcare environments. His work is particularly notable for its forward-looking synthesis of technical advances with real-world clinical needs, earning him recognition as a pioneer in this rapidly evolving domain. With his taxonomy serving as a foundational reference, Nasrallah continues to drive innovation at the intersection of AI and medicine, offering a roadmap for the next generation of intelligent, agentic healthcare systems.
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