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NEJM AI is a new journal on medical artificial intelligence and machine learning from NEJM Group, the publisher of @NEJM.

Boston
Joined November 2022
Photo by NEJM AI (@NEJM_AI)Photo by NEJM AI (@NEJM_AI)Photo by NEJM AI (@NEJM_AI)Photo by NEJM AI (@NEJM_AI)Photo by NEJM AI (@NEJM_AI)Photo by NEJM AI (@NEJM_AI)Photo by NEJM AI (@NEJM_AI)Photo by NEJM AI (@NEJM_AI)Photo by NEJM AI (@NEJM_AI)Photo by NEJM AI (@NEJM_AI)
On AI Grand Rounds, Dr. Michal Nedoszytko (@mnedoszytko) explains how AI can help physicians gather better information, improve the quality of conversations with patients, and prototype solutions to problems that clinicians experience every day. 🎧 nejm.ai/ep47
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AI tools allow clinicians to build prototypes of clinical software, writes Dr. @mnedoszytko in a new Perspective, but they must partner with engineers, security specialists, and regulators to create products that are ready for clinical use. Read more: nejm.ai/47U7Eo4
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The barrier to building has dropped. The barrier to safety has not. On @NEJM_AI Grand Rounds, Dr. @mnedoszytko draws a line between prototyping and clinical deployment: safe delivery still requires engineering, privacy protections, and rigor. Full episode: nejm.ai/ep47
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NEJM AI retweeted
Clinical AI to predict which individuals with incident positive ANA tests -> systemic autoimmune disease. Two-year pragmatic randomized trial flagging high-risk patients for faster rheumatology review shortened time to autoimmune diagnosis (HR 1.9, 95% CI 1.3 to 2.7; median 43 against 138 days). Among patients seen by rheumatology within 6 months, 23% were diagnosed against 16% (p=0.07) @NEJM_AI ai.nejm.org/doi/10.1056/AIoa…
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It was a ton of fun for us to have Mark Cuban back on our @NEJM_AI podcast for a second time. We reflected on progress in medical AI over the last few years, asked Mark's thoughts about data centers, and picked his brain about his personal uses of AI in his own life. And we of course got to ask about LeBron and Skip Bayless again too. Episode out on @NEJM_AI Grand Rounds soon!
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Case Study by C. Buxbaum et al.: AI-Assisted Molecular Review Refines SMO Inhibitor Candidacy in SHH Medulloblastoma nejm.ai/4yVI65V #ArtificialIntelligence #AIinMedicine
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What if AI improved the visit before it began? On @NEJM_AI Grand Rounds, Dr. Michal Nedoszytko (@mnedoszytko) explains how pre-visit conversations help patients arrive prepared, improving the quality of the clinician-patient encounter. Listen now: nejm.ai/ep47
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My new piece in @NEJM_AI, "Vibe Coding versus Clinical Reality": the barrier to building has dropped, but the barrier to building safely hasn't. Physicians can now prototype; getting it safely to patients still takes engineers working alongside us. ai.nejm.org/doi/full/10.1056…
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Perspective by E. Kim et al.: Clinical AI in 2025–2026 — Six Themes from the SAIL Year in Review nejm.ai/4ilMIfD #ArtificialIntelligence #AIinMedicine
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Start with the friction clinicians actually experience. On @NEJM_AI Grand Rounds, Dr. @mnedoszytko says living inside the problem can reveal what needs fixing — and why physicians may be well positioned to build a useful solution for care. Full episode: nejm.ai/ep47
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An AI-assisted molecular synthesis workflow integrating multimodal molecular data guided an unproven treatment decision in a diagnostically ambiguous case of adult sonic hedgehog–activated medulloblastoma. Learn more: nejm.ai/4yVI65V
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In Depth: Ambient AI as a Tool for Returning Time to Care nej.md/3W7jkB8
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A new Perspective highlights the major themes shaping clinical AI in 2026, while identifying priorities for safer and more effective implementation. Read the full Perspective: nejm.ai/4ilMIfD
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Original Article by E. Sato et al.: Artificial Intelligence–Enhanced Auscultation to Identify Left Ventricular Dysfunction — Development and External Validation in Prospective Multicenter Studies nejm.ai/3W3zag4 #ArtificialIntelligence #AIinMedicine
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Original Article by E. Benker-Hasani et al.: Effect of Previsit AI-Generated Document Summaries on Consultation Time and Patient–Physician Communication — The AI-INFOCARE Randomized Controlled Trial nejm.ai/3W3z9Zy #ArtificialIntelligence #AIinMedicine
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Original Article by D. Aran (@dvir_a) et al.: Comparative Cost of Care Recommended by Large Language Models versus Treating Physicians nejm.ai/4i18zYw #ArtificialIntelligence #AIinMedicine
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Editorial by @AdamMarkovitz, MD, PhD, and @AlexChaitoff, MD, MPH: Comprehensive or Wasteful? Clinical AI and the Up-front Workup nejm.ai/4zyYg59 #ArtificialIntelligence #AIinMedicine
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An ambient AI initiative at Jefferson Health involving 5234 provisioned clinicians and more than 283,000 ambulatory encounters has been associated with reduced time spent and effort expended in documenting patient encounters. Read the latest In Depth: nej.md/3W7jkB8
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Perspective by P. Jarrett et al.: No Mastery without the Machine — Medical Education in the Age of Clinical AI nejm.ai/4ybNSiw #MedEd #AIinMedicine
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A new study develops and externally validates an AI-enhanced digital auscultation system for detecting left ventricular dysfunction using prospective multicenter data. Learn more: nejm.ai/3W3zag4
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A new randomized controlled trial evaluated whether AI-generated, layperson-friendly summaries of medical findings provided before outpatient consultations improve physician–patient communication. Learn more: nejm.ai/3W3z9Zy
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