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
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 14, 2025 at 9:07 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 14, 2025 at 9:07 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
PadChest Grounded Reporting is a novel dataset derived from PadChest and designed to train and evaluate grounded report generation models from chest x-ray images. PadChest-GR includes comprehensive sentence-level bounding-box annotations for all clinically … #NEJMAI #Datasets,Benchmarks,andProtocols
PadChest-GR: A Bilingual Chest X-Ray Dataset for Grounded Radiology Report Generation
Jun 18, 2025 Datasets, Benchmarks, and Protocols by D.C. de Castro and Others
ai.nejm.org
June 18, 2025 at 3:07 PM
PadChest Grounded Reporting is a novel dataset derived from PadChest and designed to train and evaluate grounded report generation models from chest x-ray images. PadChest-GR includes comprehensive sentence-level bounding-box annotations for all clinically … #NEJMAI #Datasets,Benchmarks,andProtocols
This perspective provides data on the landscape of medical AI in China, covering research focus areas, key players from academia and industry, and the main drivers of medical AI development, as well as insights into these trends relative to those seen in the United States. #NEJMAI #Perspective
The Landscape of Medical AI in China
Jun 18, 2025 Perspective by Y. Qiu and Others
ai.nejm.org
June 18, 2025 at 3:07 PM
This perspective provides data on the landscape of medical AI in China, covering research focus areas, key players from academia and industry, and the main drivers of medical AI development, as well as insights into these trends relative to those seen in the United States. #NEJMAI #Perspective
A perspective on applying technology to alleviate the current mental health workforce shortage by focusing on the initial stages of mental health treatment for both primary care providers — for whom over 70% of visits involve a mental health component — and mental health profes… #NEJMAI #Perspective
Improving Mental Health Care Access with Technology: Addressing the Screening-to-Referral Bottleneck
Jun 18, 2025 Perspective by A.J. Gorelik and Others
ai.nejm.org
June 18, 2025 at 3:07 PM
A perspective on applying technology to alleviate the current mental health workforce shortage by focusing on the initial stages of mental health treatment for both primary care providers — for whom over 70% of visits involve a mental health component — and mental health profes… #NEJMAI #Perspective
This commentary examines the shortcomings of Canada’s proposed Artificial Intelligence and Data Act, in particular its failure to adequately provide regulatory guidance for health care AI. It argues for a more targeted, sector-specific approach to ensure patient safety, transp… #NEJMAI #PolicyCorner
Lessons from the Failure of Canada’s Artificial Intelligence and Data Act
Jun 18, 2025 Policy Corner by A.H. Ishaque, A. Aidid, and G. Zadeh
ai.nejm.org
June 18, 2025 at 3:07 PM
This commentary examines the shortcomings of Canada’s proposed Artificial Intelligence and Data Act, in particular its failure to adequately provide regulatory guidance for health care AI. It argues for a more targeted, sector-specific approach to ensure patient safety, transp… #NEJMAI #PolicyCorner
This perspective explores the capabilities of five large language models (ChatGPT-4o mini, Claude 3.5 Sonnet, Copilot for Microsoft 365, Meta AI Llama 3, and Gemini 1.5 Flash) to respond to ethics scenarios that may emerge when AI is used in health care, and finds that though A… #NEJMAI #Perspective
Can a Chatbot Be a Medical Surrogate? The Use of Large Language Models in Medical Ethics Decision-Making
Jun 02, 2025 Perspective by I. Harshe, K.W. Goodman, and G. Agarwal
ai.nejm.org
June 9, 2025 at 3:07 PM
This perspective explores the capabilities of five large language models (ChatGPT-4o mini, Claude 3.5 Sonnet, Copilot for Microsoft 365, Meta AI Llama 3, and Gemini 1.5 Flash) to respond to ethics scenarios that may emerge when AI is used in health care, and finds that though A… #NEJMAI #Perspective
This review analyzes 950 U.S. Food and Drug Administration–regulated artificial intelligence medical devices, revealing stark contrasts between public and private manufacturers in production scale, transparency, and recall rates. It highlights how commercialization strategies… #NEJMAI #ReviewArticle
Development and Commercialization Pathways of AI Medical Devices in the United States: Implications for Safety and Regulatory Oversight
Jun 02, 2025 Review Article by B. Lee and Others
ai.nejm.org
June 9, 2025 at 3:07 PM
This review analyzes 950 U.S. Food and Drug Administration–regulated artificial intelligence medical devices, revealing stark contrasts between public and private manufacturers in production scale, transparency, and recall rates. It highlights how commercialization strategies… #NEJMAI #ReviewArticle
The Development, Evaluation, and Assessment of Large Language Models (DEAL) checklist offers two pathways — DEAL-A for advanced model development and DEAL-B for applied research — to ensure comprehensive and consistent reporting of LLM studies, fostering reliable scientific com… #NEJMAI #Perspective
Development, Evaluation, and Assessment of Large Language Models (DEAL) Checklist: A Technical Report
May 09, 2025 Perspective by S. Tripathi and Others
ai.nejm.org
May 31, 2025 at 8:22 PM
The Development, Evaluation, and Assessment of Large Language Models (DEAL) checklist offers two pathways — DEAL-A for advanced model development and DEAL-B for applied research — to ensure comprehensive and consistent reporting of LLM studies, fostering reliable scientific com… #NEJMAI #Perspective
The UC San Diego Health system examines the ethical and practical implications of using generative artificial intelligence (AI) to assist in drafting messages to patients through an approach that prioritizes transparency by disclosing AI involvement in clinical communication an… #NEJMAI #Perspective
A Call for Disclosure When Using AI for Patient Communications
May 09, 2025 Perspective by M. Millen, M. Tai-Seale, and C.A. Longhurst
ai.nejm.org
May 31, 2025 at 8:22 PM
The UC San Diego Health system examines the ethical and practical implications of using generative artificial intelligence (AI) to assist in drafting messages to patients through an approach that prioritizes transparency by disclosing AI involvement in clinical communication an… #NEJMAI #Perspective
This perspective explores 10 strategies for how artificial intelligence can be thoughtfully integrated into HIV programs amid tightening global health resources. It offers actionable guidance to ensure these tools reinforce — rather than disrupt — community priorities, ethical … #NEJMAI #Perspective
Essential Strategies for Leveraging AI in the Global HIV Response
May 09, 2025 Perspective by M.J. Reid and Others
ai.nejm.org
May 31, 2025 at 8:22 PM
This perspective explores 10 strategies for how artificial intelligence can be thoughtfully integrated into HIV programs amid tightening global health resources. It offers actionable guidance to ensure these tools reinforce — rather than disrupt — community priorities, ethical … #NEJMAI #Perspective
This article presents a comprehensive analysis of how artificial intelligence–generated medical responses are perceived and evaluated by nonexperts. The results show that the accuracy of AI-generated responses, on average, was perceived as similar to or even better than the… #NEJMAI #OriginalArticle
People Overtrust AI-Generated Medical Advice despite Low Accuracy
May 13, 2025 Original Article by S. Shekar and Others
ai.nejm.org
May 31, 2025 at 8:22 PM
This article presents a comprehensive analysis of how artificial intelligence–generated medical responses are perceived and evaluated by nonexperts. The results show that the accuracy of AI-generated responses, on average, was perceived as similar to or even better than the… #NEJMAI #OriginalArticle
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
This article introduces the Melanoma Research Alliance Multimodal Image Dataset for Artificial Intelligence–Based Skin Cancer (MIDAS), the largest publicly available dataset of biopsy-confirmed skin lesions with paired clinical and dermoscopic images. Using… #NEJMAI #Datasets,Benchmarks,andProtocols
Multimodal Image Dataset for AI-Based Skin Cancer (MIDAS) Benchmarking
May 20, 2025 Datasets, Benchmarks, and Protocols by A.S. Chiou and Others
ai.nejm.org
May 31, 2025 at 8:22 PM
This article introduces the Melanoma Research Alliance Multimodal Image Dataset for Artificial Intelligence–Based Skin Cancer (MIDAS), the largest publicly available dataset of biopsy-confirmed skin lesions with paired clinical and dermoscopic images. Using… #NEJMAI #Datasets,Benchmarks,andProtocols
This study evaluates the accuracy of the National Institutes of Health Integrated Data Analysis Platform Text Extraction Program, a Generative Pretrained Transformer 4–powered tool for extracting data from unstructured electronic health records. Compared with a manually curated g… #NEJMAI #CaseStudy
LLM-Mediated Data Extraction from Patient Records after Radical Prostatectomy
May 22, 2025 Case Study by W.S. Azar and Others
ai.nejm.org
May 31, 2025 at 8:22 PM
This study evaluates the accuracy of the National Institutes of Health Integrated Data Analysis Platform Text Extraction Program, a Generative Pretrained Transformer 4–powered tool for extracting data from unstructured electronic health records. Compared with a manually curated g… #NEJMAI #CaseStudy
This case study investigates how handwritten labels and watermarks on histopathological images can unintentionally act as prompt injections, misleading state-of-the-art vision–language models such as GPT-4o and Claude. The findings reveal that these models often treat such visual… #NEJMAI #CaseStudy
Incidental Prompt Injections on Vision–Language Models in Real-Life Histopathology
May 22, 2025 Case Study by J. Clusmann and Others
ai.nejm.org
May 31, 2025 at 8:22 PM
This case study investigates how handwritten labels and watermarks on histopathological images can unintentionally act as prompt injections, misleading state-of-the-art vision–language models such as GPT-4o and Claude. The findings reveal that these models often treat such visual… #NEJMAI #CaseStudy
In this issue of NEJM AI, Azar et al. demonstrate that AI can accurately extract and enter data from prostatectomy pathology reports. This suggests that AI tools may be accurate enough to be deployed for research, minimizing the burden of manual data extraction and entry. #NEJMAI #Editorial
AI Streamlines Prostate Pathology Data Extraction
May 22, 2025 Editorial by S.P. Basourakos and J.E. Shoag
ai.nejm.org
May 31, 2025 at 8:22 PM
In this issue of NEJM AI, Azar et al. demonstrate that AI can accurately extract and enter data from prostatectomy pathology reports. This suggests that AI tools may be accurate enough to be deployed for research, minimizing the burden of manual data extraction and entry. #NEJMAI #Editorial
This article examines how the use of artificial intelligence (AI) in radiology influences public perceptions of liability when a radiologist misses a pathology. Participants were more likely to hold the radiologist accountable when AI detected the abnormality, but providing… #NEJMAI #OriginalArticle
Randomized Study of the Impact of AI on Perceived Legal Liability for Radiologists
May 22, 2025 Original Article by M.H. Bernstein and Others
ai.nejm.org
May 31, 2025 at 8:22 PM
This article examines how the use of artificial intelligence (AI) in radiology influences public perceptions of liability when a radiologist misses a pathology. Participants were more likely to hold the radiologist accountable when AI detected the abnormality, but providing… #NEJMAI #OriginalArticle