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Medical training’s AI leap: How agentic RAG, open-weight LLMs and real-time case insights are shaping a new generation of doctors at NYU Langone
NYU Langone has built an LLM research companion and medical advisor, and is pioneering what it calls AI-driven “precision medical education."
Every night, the model processes electronic health records (EHR), matching them with relevant research, diagnosis tips and essential background information that it then delivers in concise, tailored emails to residents the following morning. A key success metric for him personally was when a system outage halted the emails for a few days — and faculty members and students complained they weren’t receiving the morning nudges they had come to rely on. Triola pointed out that there are “sacrosanct” parts of being a physician, and that some are resistant to give those up to AI or digital systems “in any way, shape or form.” For example, there’s a perception that young doctors should be actively researching and nose-down in the latest literature whenever they’re not in a clinical setting.
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