ALT Dark navy image with an illustration of a doctor using technology to evaluate diagnostic and imaging results. Below the illustration reads the following: Reinventing Clinical Guidelines in the AI Era October 21, 2026 Free Virtual Event The NEJM AI logo is centered at bottom.

ALT A diagram showing an AI-assisted clinical messaging workflow within EHR system.

ALT A bar chart showing the distribution of clinician modification categories by frequency and extent of editing.

ALT A pyramid chart showing the four-tier stratification of clinician workload for the categories of edits observed for AI-drafted replies.

ALT This image is an illustration of two individuals sitting in a medical office. One is wearing a white coat with a stethoscope around his neck, and holding a tablet, representing a doctor, while the other is engaged in conversation. In the background, a computer monitor displays a document. The text reads: "NEJM Voices | Don Dizon, M.D. The Limits of AI in the Art of Medicine."

ALT The image is page 1 of the Perspective "Building an AI-Ready Evidence Base for Behavior Change" published in NEJM AI. A dark banner at the bottom encourages readers to access the full Perspective at ai.nejm.org.

ALT A quote from a Case Study published in NEJM AI reads as follows: “Our findings also underscore the need for more research on parental trust in LLM chatbots deployed by academic or clinical institutions. In our study, some parents had trust in the chatbot because of their trust in the institution, not because the results were clinically verified.” The Case Study is titled “Parental Perspectives on Using Large Language Model–Powered Chatbots in Rare Disease Care” and the authors are A.M. Kerr et al. The background color is orange and includes the NEJM AI logo.

ALT A bar chart showing the average large language model–patient agreement (blue bars) compared with average human proxy–patient agreement (horizontal brown and black dotted lines) across 10 repetition trials (±95% confidence intervals).

ALT The image is page 1 of the Perspective "A Classification of Safety Risks in Medical AI" published in NEJM AI. A dark blue banner at the bottom encourages readers to access the full Perspective at ai.nejm.org.

ALT A quote from a Perspective published in the New England Journal of Medicine reads as follows: "The automation of tasks won’t necessarily translate into the automation of jobs. In fact, if AI automates some clinical tasks, the value of nonautomated, human tasks may increase." The Perspective is titled "Artificial Intelligence and the Future of the Clinical Workforce" and the author is Dhruv Khullar, M.D., M.P.P. The text is displayed on a simple white background with a purple border. The NEJM identity sits at the bottom.

ALT A table showing phase-based framework for evidentiary maturity in clinical artificial intelligence. The table includes five phases: Model development and representation learning, Internal validation, External validation, Decision impact and implementation readiness, and Postdeployment monitoring. Each phase details core questions, evidence expected, and example claims supported, from technical feasibility to durable clinical effectiveness.

ALT A figure showing the New Technology Add-On Payment (NTAP) policy timeline and approvals by fiscal year. The annual number of NTAP approvals through the traditional (blue) and alternative (reddish brown) pathways is graphed alongside a timeline of major NTAP-related policy events. The number of NTAP technologies approved through the alternative pathway has steadily increased since the pathway was first established in 2020.

ALT Promotional image for episode 46 of the NEJM AI Grand Rounds podcast featuring Dr. Xiao Liu. The left side includes the title: "Beyond the Hype: Dr. Xiao Liu on Evaluating Medical AI." A photo of Dr. Liu is on the right.

ALT A quote from a Perspective published in NEJM AI reads as follows: “Access to agentic research capacity should ... be treated as a shared — potentially national or international — scientific resource rather than a local institutional asset.” The Perspective is titled “Agentic AI Teammates in Medical Research — From Tools to Collaborators — and the Accelerating Digital Divide” and the authors are Lars Masanneck, M.D, M.Sc., and Sibylle C. Mellinghoff, M.D. The background color is orange and includes the NEJM AI logo.

ALT A quote from a Perspective published in the New England Journal of Medicine reads as follows: "In settings where timely human translation isn’t feasible, the comparative effectiveness of AI-assisted translation, particularly for common languages, warrants careful consideration." The Perspective is titled "AI-Based Translation of Discharge Instructions — Aligning Policy with Practice" and the authors are Melanie F. Molina, M.D., Mateo C. Rutherford, M.A.T.I., and Elaine C. Khoong, M.D. The text is displayed on a simple white background with a yellow border. The NEJM identity sits at the bottom.

ALT A quote from a Perspective published in NEJM AI reads as follows: “[Retrieval-augmented generation] is not a security boundary, and carefully engineered prompts are not security controls.” The Perspective is titled “When the Chatbot Leaks: Securing Patient-Facing Medical AI in the Age of Dual-Use Large Language Models” and the authors are Alfredo Madrid-García, Ph.D., Beatriz Merino-Barbancho, Ph.D., and Miguel Rujas, M.Sc. The background color is dark blue and includes the NEJM AI logo.