Discover NEJM AI, the prestigious New England Journal of Medicine's new publication dedicated to medical AI. 🧠🤖 Bridging research & practice, it covers breakthroughs, case studies, and ethics in AI-driven healthcare.
#NEJMAI #MedSchool #MedSky #AI
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#NEJMAI #MedSchool #MedSky #AI
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January 10, 2025 at 10:13 PM
Discover NEJM AI, the prestigious New England Journal of Medicine's new publication dedicated to medical AI. 🧠🤖 Bridging research & practice, it covers breakthroughs, case studies, and ethics in AI-driven healthcare.
#NEJMAI #MedSchool #MedSky #AI
ai.nejm.org
#NEJMAI #MedSchool #MedSky #AI
ai.nejm.org
Interested to see what people's thoughts are regarding this #NEJMAI perspective 🧵
#MedSky #MLSky #algorithmicbias #healthcareAI #healthequity
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#MedSky #MLSky #algorithmicbias #healthcareAI #healthequity
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Ethical Use of Artificial Intelligence in Medical Diagnostics Demands a Focus on Accuracy, Not Fairness
Artificial intelligence (AI) promises to be a transformative technology for medicine and health care. As such, there is an increasing interest in ensuring its ethical use. In this perspective, we c...
ai.nejm.org
January 9, 2025 at 11:40 PM
Interested to see what people's thoughts are regarding this #NEJMAI perspective 🧵
#MedSky #MLSky #algorithmicbias #healthcareAI #healthequity
ai.nejm.org/doi/full/10....
#MedSky #MLSky #algorithmicbias #healthcareAI #healthequity
ai.nejm.org/doi/full/10....
#AI tools can now take data and write a scientific paper entirely autonomously. As terrifying as that sounds, there may be some positives. Read our accompanying editorial here. #llm #nejmai
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The Promise and Perils of Autonomous AI in Science
In this edition of NEJM AI, Ifargan and colleagues present data-to-paper, an autonomous platform designed to mimic human scientific practice by guiding a large language model through a stepwise res...
ai.nejm.org
December 16, 2024 at 8:47 PM
#AI tools can now take data and write a scientific paper entirely autonomously. As terrifying as that sounds, there may be some positives. Read our accompanying editorial here. #llm #nejmai
ai.nejm.org/stoken/defau...
ai.nejm.org/stoken/defau...
A machine learning model that diagnoses celiac disease from duodenal biopsy images demonstrates strong generalizability across multiple hospitals and has the potential to enhance diagnostic efficiency and reliability in clinical practice. #NEJMAI #OriginalArticle
Machine Learning Achieves Pathologist-Level Celiac Disease Diagnosis
Mar 27, 2025 Original Article by F. Jaeckle and Others
ai.nejm.org
March 27, 2025 at 9:06 PM
A machine learning model that diagnoses celiac disease from duodenal biopsy images demonstrates strong generalizability across multiple hospitals and has the potential to enhance diagnostic efficiency and reliability in clinical practice. #NEJMAI #OriginalArticle
How should we measure AI in health care? NEJM asks: “Compared with what?”-reminding us to benchmark AI not just against ideals, but against the real-world care patients receive today. The true test: can AI raise the standard we actually have? #AIinHealthcare #NEJMAI
May 13, 2025 at 1:58 PM
How should we measure AI in health care? NEJM asks: “Compared with what?”-reminding us to benchmark AI not just against ideals, but against the real-world care patients receive today. The true test: can AI raise the standard we actually have? #AIinHealthcare #NEJMAI
This perspective explores Lewis Thomas’s reflections on artificial intelligence (AI), highlighting his concerns about AI’s limitations and its inability to replicate human creativity, moral agency, and the capacity for error-driven discovery. It examines the evolving role of AI… #NEJMAI #Perspective
Lewis Thomas on Artificial Intelligence
Mar 25, 2025 Perspective by J.J. Fins
ai.nejm.org
March 27, 2025 at 9:06 PM
This perspective explores Lewis Thomas’s reflections on artificial intelligence (AI), highlighting his concerns about AI’s limitations and its inability to replicate human creativity, moral agency, and the capacity for error-driven discovery. It examines the evolving role of AI… #NEJMAI #Perspective
Our study demonstrates a potential for AI-driven acceleration of scientific discovery in biomedical research and beyond, while enhancing, rather than jeopardizing, traceability, transparency, and verifiability. #NEJMAI #OriginalArticle
Autonomous LLM-Driven Research — from Data to Human-Verifiable Research Papers
Dec 03, 2024 Original Article by T. Ifargan and Others
ai.nejm.org
December 3, 2024 at 3:06 PM
Our study demonstrates a potential for AI-driven acceleration of scientific discovery in biomedical research and beyond, while enhancing, rather than jeopardizing, traceability, transparency, and verifiability. #NEJMAI #OriginalArticle
This study has tested the synthesis of high-accuracy differential diagnoses by aggregating responses from multiple heterogeneous large language models using methods for knowledge aggregation from the field of collective intelligence. #NEJMAI
Combining Multiple Large Language Models Improves Diagnostic Accuracy
Case Study by G. Barabucci and Others
ai.nejm.org
November 24, 2024 at 7:36 AM
This study has tested the synthesis of high-accuracy differential diagnoses by aggregating responses from multiple heterogeneous large language models using methods for knowledge aggregation from the field of collective intelligence. #NEJMAI
An examination of how commercial influences in health care AI — such as decision support manipulation, market concentration, and exploitative practices — reveals risks of misaligning care with patient and societal needs. This perspective advocates for comprehensive oversight an… #NEJMAI #Perspective
Unseen Commercial Forces Could Undermine Artificial Intelligence Decision Support
Feb 06, 2025 Perspective by K.D. Mandl
ai.nejm.org
February 7, 2025 at 9:05 PM
An examination of how commercial influences in health care AI — such as decision support manipulation, market concentration, and exploitative practices — reveals risks of misaligning care with patient and societal needs. This perspective advocates for comprehensive oversight an… #NEJMAI #Perspective
This article presents AI-CAC, a deep learning algorithm developed to automatically quantify coronary artery calcium (CAC) from nongated, noncontrast chest computed tomography scans across the U.S. Veterans Affairs health care system. Validated against clinical electrocardio… #NEJMAI #OriginalArticle
AI Opportunistic Coronary Calcium Screening at Veterans Affairs Hospitals
May 16, 2025 Original Article by R. Hagopian and Others
ai.nejm.org
May 31, 2025 at 8:22 PM
This article presents AI-CAC, a deep learning algorithm developed to automatically quantify coronary artery calcium (CAC) from nongated, noncontrast chest computed tomography scans across the U.S. Veterans Affairs health care system. Validated against clinical electrocardio… #NEJMAI #OriginalArticle
A locally deployable, open-source LLM-Anonymizer can remove personal identifiers with high accuracy, offering a scalable and accessible solution for secure medical data processing. #NEJMAI #Datasets,Benchmarks,andProtocols
Deidentifying Medical Documents with Local, Privacy-Preserving Large Language Models: The LLM-Anonymizer
Mar 27, 2025 Datasets, Benchmarks, and Protocols by I.C. Wiest and Others
ai.nejm.org
March 27, 2025 at 9:06 PM
A locally deployable, open-source LLM-Anonymizer can remove personal identifiers with high accuracy, offering a scalable and accessible solution for secure medical data processing. #NEJMAI #Datasets,Benchmarks,andProtocols
A proposal for an AI foundation model for ophthalmology that can process eight ophthalmic imaging modalities and adapt to a multitude of ophthalmic scenarios and applications. #NEJMAI #OriginalArticle
Development and Validation of a Multimodal Multitask Vision
Foundation Model for Generalist Ophthalmic Artificial
Intelligence
Nov 27, 2024 Original Article by J. Qiu and Others
ai.nejm.org
November 28, 2024 at 4:29 PM
A proposal for an AI foundation model for ophthalmology that can process eight ophthalmic imaging modalities and adapt to a multitude of ophthalmic scenarios and applications. #NEJMAI #OriginalArticle
We recommend the development of clearer guidelines and ethical standards for the use of artificial intelligence (AI) in research, fostering human-AI collaboration to enhance research quality while preserving human oversight and integrating the innovative “data-chaining” transpare… #NEJMAI #Editorial
The Promise and Perils of Autonomous AI in Science
Dec 16, 2024 Editorial by J. Gao and E.M. Harrison
ai.nejm.org
December 26, 2024 at 3:05 PM
We recommend the development of clearer guidelines and ethical standards for the use of artificial intelligence (AI) in research, fostering human-AI collaboration to enhance research quality while preserving human oversight and integrating the innovative “data-chaining” transpare… #NEJMAI #Editorial
This Perspective article summarizes an NEJM AI Grand Rounds conversation with Dr. Vijay Pande, General Partner at Andreessen Horowitz. We discuss the intersection of artificial intelligence, venture capital, and health care, as well as the potential for AI to democratize access… #NEJMAI #Perspective
Cultivating Health Care’s AI Future
Jan 21, 2025 Perspective by V. Pande, A.K. Manrai, and A.L. Beam
ai.nejm.org
January 21, 2025 at 9:05 PM
This Perspective article summarizes an NEJM AI Grand Rounds conversation with Dr. Vijay Pande, General Partner at Andreessen Horowitz. We discuss the intersection of artificial intelligence, venture capital, and health care, as well as the potential for AI to democratize access… #NEJMAI #Perspective
This case study gives an evaluation of the ability of potentially powerful computational tools available to the drug development community to harmonize real-world oncology data as the foundation for scalable drug development informatics pipelines. #NEJMAI
AI for Oncology Drug Data Harmonization — Amazon versus OpenAI
Oct 18, 2024 Case Study by J.G. Ronquillo and Others
ai.nejm.org
November 24, 2024 at 7:37 AM
This case study gives an evaluation of the ability of potentially powerful computational tools available to the drug development community to harmonize real-world oncology data as the foundation for scalable drug development informatics pipelines. #NEJMAI
This perspective explains how the unique nature of primary care translates to important differences in machine learning model development and adoption for clinical use. Four key considerations are presented to address the use of ML in primary care settings. #NEJMAI #Perspective
Why Is Primary Care Different? Considerations for Machine Learning Development with Electronic Medical Record Data
Apr 24, 2025 Perspective by J.K. Kueper and Others
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April 24, 2025 at 3:07 PM
This perspective explains how the unique nature of primary care translates to important differences in machine learning model development and adoption for clinical use. Four key considerations are presented to address the use of ML in primary care settings. #NEJMAI #Perspective
This study finds that an out-of-the-box risk classification by a U.S. Food and Drug Administration–cleared artificial intelligence–enabled algorithm for identifying hypertrophic cardiomyopathy from electrocardiograms can have a low predictive value when used for diagnosis i… #NEJMAI #OriginalArticle
Calibration of ECG-Based Deep-Learning Algorithm Scores for Patients Flagged as High Risk for Hypertrophic Cardiomyopathy
Apr 24, 2025 Original Article by J. Lampert and Others
ai.nejm.org
April 24, 2025 at 3:07 PM
This study finds that an out-of-the-box risk classification by a U.S. Food and Drug Administration–cleared artificial intelligence–enabled algorithm for identifying hypertrophic cardiomyopathy from electrocardiograms can have a low predictive value when used for diagnosis i… #NEJMAI #OriginalArticle
LLMs are starting to help with medical billing, do you think they could help with responses to documentation queries too? #NEJMAI
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Large Language Models for More Efficient Reporting of Hospital Quality Measures
Hospital quality measures are a vital component of a learning health system, yet they
can be costly to report, statistically underpowered, and inconsistent due to poor
interrater reliability. Large...
ai.nejm.org
November 13, 2024 at 3:14 PM
LLMs are starting to help with medical billing, do you think they could help with responses to documentation queries too? #NEJMAI
ai.nejm.org/doi/full/10....
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Pragmatic AI trial on practitioner well-being:
📉 38% of 71,487 notes AI-generated
📊 Work exhaustion decreased by 0.44 points
⏰ Notes time reduced by 0.36 hrs/day
Better billing codes
#AI #Healthcare #RCT #NEJMAI
https://dev.tnyp.me/8RlX6Dee/s
📉 38% of 71,487 notes AI-generated
📊 Work exhaustion decreased by 0.44 points
⏰ Notes time reduced by 0.36 hrs/day
Better billing codes
#AI #Healthcare #RCT #NEJMAI
https://dev.tnyp.me/8RlX6Dee/s
September 15, 2026 at 10:00 PM
Pragmatic AI trial on practitioner well-being:
📉 38% of 71,487 notes AI-generated
📊 Work exhaustion decreased by 0.44 points
⏰ Notes time reduced by 0.36 hrs/day
Better billing codes
#AI #Healthcare #RCT #NEJMAI
https://dev.tnyp.me/8RlX6Dee/s
📉 38% of 71,487 notes AI-generated
📊 Work exhaustion decreased by 0.44 points
⏰ Notes time reduced by 0.36 hrs/day
Better billing codes
#AI #Healthcare #RCT #NEJMAI
https://dev.tnyp.me/8RlX6Dee/s
This editorial examines the use of generative AI to simulate patient encounters for students preparing for the Objective Structured Clinical Examination, highlighting both its pedagogical promise and potential risks. We argue for thoughtful integration that supports diagnostic re… #NEJMAI #Editorial
AI-Driven OSCE Preparation in Medical Education: Promise, Pitfalls, and Practical Implications
Jul 14, 2025 Editorial by A.S. Rao and A.R. Artino
ai.nejm.org
July 15, 2025 at 9:06 PM
This editorial examines the use of generative AI to simulate patient encounters for students preparing for the Objective Structured Clinical Examination, highlighting both its pedagogical promise and potential risks. We argue for thoughtful integration that supports diagnostic re… #NEJMAI #Editorial
This study evaluates the AI-Standardized Clinical Examination framework, which leverages text-based simulations with virtual patients and AI-driven assessment. Through a single-blind randomized trial, it assesses the impact of ASCE training on objective structured clinical … #NEJMAI #OriginalArticle
AI-Standardized Clinical Examination Training on OSCE Performance
Jul 14, 2025 Original Article by E. Lavigne and Others
ai.nejm.org
July 15, 2025 at 9:06 PM
This study evaluates the AI-Standardized Clinical Examination framework, which leverages text-based simulations with virtual patients and AI-driven assessment. Through a single-blind randomized trial, it assesses the impact of ASCE training on objective structured clinical … #NEJMAI #OriginalArticle
This case study evaluates the ability of six frontier large language models — including GPT-4o, Gemini 1.5 Pro, and Llama 3.1 — to incorporate newly updated medical knowledge through commercial fine-tuning application programming interfaces. Despite modest gains, most models stru… #NEJMAI #CaseStudy
Limitations of Learning New and Updated Medical Knowledge with Commercial Fine-Tuning Large Language Models
Jul 15, 2025 Case Study by E. Wu, K. Wu, and J. Zou
ai.nejm.org
July 15, 2025 at 9:06 PM
This case study evaluates the ability of six frontier large language models — including GPT-4o, Gemini 1.5 Pro, and Llama 3.1 — to incorporate newly updated medical knowledge through commercial fine-tuning application programming interfaces. Despite modest gains, most models stru… #NEJMAI #CaseStudy
This letter to the editor highlights the need for further research into the cost-effectiveness, real-world impact on patient outcomes, and broader public health value of computer-aided diagnosis tools for tuberculosis. #NEJMAI #Perspective
A Letter about “Prospective Multisite Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities”
Jul 15, 2025 Perspective by B.A. Mateen and M.J.A. Reid
ai.nejm.org
July 15, 2025 at 9:06 PM
This letter to the editor highlights the need for further research into the cost-effectiveness, real-world impact on patient outcomes, and broader public health value of computer-aided diagnosis tools for tuberculosis. #NEJMAI #Perspective