@NEJM_AI

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

 Boston
ai.nejm.org/
Joined November 2022
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お待たせしました！ "いいジャーナルにアクセプト！"って何処？と思ってた方いるかもですが！ NEJM AI @NEJM_AI に、新しい論文が出ました！！ 聴診データをAI 解析することで、EF低下を見分けるという論文です！大学院生の佐藤先生が筆頭。ぜひ読んでください！ ai.nejm.org/doi/full/10.1056…
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Today’s health care leaders face fundamental disruptions in their ecosystems and a convergence of challenges across countries requiring new leadership approaches that have not yet been explored in depth. Read the full Commentary: nej.md/3U5A8Ye
The image contains text on a gradient purple and blue background with a quotation: "The rapidly evolving technology landscape requires leaders to thoughtfully integrate digital health tools and artificial intelligence within their organizations, which can be challenging in established organizations with entrenched policies and workflows." Below the quote reads the article headline "New Leadership Approaches for Health System Transformation in a Time of Rapid Change" by R. Bonesteel, et al. The image is from NEJM Catalyst | Innovations in Care Delivery.

ALT The image contains text on a gradient purple and blue background with a quotation: "The rapidly evolving technology landscape requires leaders to thoughtfully integrate digital health tools and artificial intelligence within their organizations, which can be challenging in established organizations with entrenched policies and workflows." Below the quote reads the article headline "New Leadership Approaches for Health System Transformation in a Time of Rapid Change" by R. Bonesteel, et al. The image is from NEJM Catalyst | Innovations in Care Delivery.

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To more efficiently synthesize lengthy patient charts comprising demographics, medical and behavioral history, health-related social needs, care team interaction history, and care plan info, Pair Team developed and deployed an AI Patient Summary tool. 👉 nej.md/4yQ4aOZ
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NEJM AI retweeted
Isaac Kohane
@zakkohaneOct 5
AI (?SI) in medicine conversations by knowledgeable AIM (?SIM) scientists on the @NEJM_AI Grand rounds. Kudos @arjunmanrai @AndrewLBeam for the top AI in Healthcare ranking podcast.feedspot.com/ai_heal… I envy us.

FeedSpot for Podcasters

Best AI in Healthcare Podcasts to Listen to ⋅ 1. NEJM AI Grand Rounds ⋅ 2. AI and Healthcare ⋅ 3. Radiology AI Podcast | RSNA ⋅ 4. AI Rounds by the Cumming School of Medicine ⋅ 5. AI For Pharma Growth

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NEJM AI retweeted
NEJM
@NEJMSep 23
In a new NEJM Voices blog post, Don Dizon, MD, argues that artificial intelligence tools used in medicine will never replace clinicians. See why: nej.md/46BpP1a
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 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."

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Pair Team (@yourpairteam), a San Francisco medical practice that manages Medicaid patients, developed an AI tool that quickly and accurately summarizes a diverse set of data sources to identify their health-related social needs. See how: nej.md/4yQ4aOZ
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"Where Are the Prepared Minds? The Impact of AI on Scientific Thinking" @RoxanaDaneshjou has practical advice for those of us in scientific education/mentorship @NEJM_AI ai.nejm.org/doi/full/10.1056…

Where Are the Prepared Minds? The Impact of AI on Scientific Thinking

Preserving opportunities for independent thought is particularly important because scientific writing and interpretation are themselves mechanisms for organizing knowledge and developing judgment. ...

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Looking forward to representing @NEJM_AI on this panel with the EICs of Cell, Nature, and Science at the @broadinstitute next week, and discussing AI in submissions & peer review...should be a fun discussion! (free Zoom registration below) Some of our relevant experience @NEJM_AI: ai.nejm.org/doi/full/10.1056…
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NEJM
@NEJMSep 17
In the future, some types of health care jobs could be replaced by AI, writes Dhruv Khullar, MD, MPP, in a new Perspective. But economic arguments challenge straightforward narratives about clinician displacement. Read the full Perspective: nej.md/4dlT9fN
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 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.

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Commentary: health care organizations adopting AI need explicit, feasible, and adequately resourced plans for converting any saved staff time into improved outcomes for managers, patients, and staff. Read more: nej.md/4wuchij
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NEJM
@NEJMSep 14
Perspective by Melanie F. Molina, MD, Mateo C. Rutherford, MATI, and Elaine C. Khoong, MD: AI-Based Translation of Discharge Instructions — Aligning Policy with Practice nej.md/4cEb3Ky #ArtificialIntelligence #AIinMedicine
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 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.

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Commentary: Time Is Not Money: Rethinking AI’s Efficiency Dividend in Health Care nej.md/4wuchij
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NEJM
@NEJMSep 10
The authors of a new Perspective write that throughout U.S. health care settings, patients with a preferred language other than English frequently receive oral interpretation services but English-only written instructions. Learn more: nej.md/4cEb3Ky
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 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.

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In Depth: For private payers, AI-enabled use cases emerge in six domains: health care management, provider relationship management, claims management, member services, corporate functions, and marketing and sales. Read more: nej.md/4gJGl5v
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AI-enabled time savings in health care do not automatically translate into productivity or cash savings; organizations need explicit, feasible, and resourced logic models to convert those savings into meaningful value for patients, staff, and services. nej.md/4wuchij
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NEJM
@NEJMSep 2
Join @NEJM_AI for a free virtual event to explore how AI is reshaping guideline development and clinical decision-making. Hear from leading experts as they discuss how to harness the strengths of large language models while preserving clinician autonomy, minimizing bias, and ensuring that evidence—not algorithms alone—continues to guide patient care. View the speaker lineup and save your seat: nej.md/4gJl2PK
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 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.

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The automation paradox: the more capable the copilot looks → the more we offload → the less able we are to catch its errors. Aviation has an answer in crew resource management. But the key takeaway: to fly with a copilot, the pilot must know how to fly solo. Our perspective in @NEJM nejm.org/doi/abs/10.1056/NEJ…
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When physicians start relying on AI-drafted content, how does a health system monitor that human-in-the-loop AI and fix what's broken? Our new @NEJM_AI study from our team at @InnovationUCSDH led by Lily Poursoltan found hundreds of physicians-hours spent editing AI content.
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Increase in response time by human edits to AI drafted messages to patients @nejm_ai ai.nejm.org/stoken/default+d… A (currently necessary and worthy but significant) cost of human-the-loop.
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NEJM
@NEJMAug 24
Perspective: Crew Resource Management — Navigating AI’s Automation Paradox nej.md/3Rqs03G #ArtificialIntelligence #AIinMedicine
An infographic flowchart showing the automation paradox in artificial intelligence (AI) Interactions. The left side shows that falling into a fluency trap leads to unverified trust and offloaded reasoning. The right side shows that a crew resource management–informed approach promotes context-sensitive situational awareness, priming the clinician to foresee fluency traps hidden in AI outputs.

ALT An infographic flowchart showing the automation paradox in artificial intelligence (AI) Interactions. The left side shows that falling into a fluency trap leads to unverified trust and offloaded reasoning. The right side shows that a crew resource management–informed approach promotes context-sensitive situational awareness, priming the clinician to foresee fluency traps hidden in AI outputs.

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