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NEJM AI
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NEJM AI
@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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    NEJM AI
    @NEJM_AI
    7h
    Medical expertise has always been scarce. Can AI help change that? Dr. Karan Singal (@thekaransinghal), research lead @OpenAI, believes it can and explains how in the latest episode of the NEJM AI Grand Rounds podcast. Listen now: nejm.ai/ep43
    Promotional image for episode 43 of the NEJM AI Grand Rounds podcast featuring OpenAI's Karan Singal discussing HealthBench and the future of medical AI. Includes a photo of Dr. Singal.
    2.9K
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    NEJM AI
    @NEJM_AI
    Jan 18, 2023
    Episode 2 of NEJM AI Grand Rounds is here! @AndrewLBeam and @arjunmanrai are joined with @pranavrajpurkar, an assistant professor @HarvardDBMI who leads a lab focused on developing AI capable of highly complex medical decision making. Listen now:
    Dr. Pranav Rajpurkar on AI and Radiology
    From nejm.org
    54K
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    NEJM AI
    @NEJM_AI
    Feb 17, 2023
    Coming soon: NEJM AI, a new journal from NEJM Group. NEJM AI aims to identify and evaluate state-of-the-art applications of artificial intelligence to clinical medicine. Learn more about the new journal: ai.nejm.org
    Introducing NEJM AI
    From nejm.org
    234K
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    NEJM AI
    @NEJM_AI
    Dec 11, 2023
    🚀 The new NEJM AI has launched! 💻 Experience the new website and explore the first issue: ai.nejm.org
    00:00
    NEJM AI
    From nejm.org
    44K
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    NEJM AI
    @NEJM_AI
    Dec 22, 2022
    Will #ArtificialIntelligence replace doctors? Dr. Ashley says no: “I think that AI will allow doctors to focus on the reasons they went into medicine, which are the human ones.” Hear more from @euanashley in the NEJM AI Grand Rounds podcast:
    Dr. Euan Ashley on AI, Genomics, and Cardiology
    From nejm.org
    5.5K
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    NEJM AI
    @NEJM_AI
    Dec 27, 2024
    A new study outlines the development and validation of the first @US_FDA-authorized artificial intelligence–based software to identify patients at risk of having sepsis. Full study results by A. Bhargava et al.: nejm.ai/49dV42V
    Figure 1. Sepsis ImmunoScore Feature Importance.
Scatter plots of the interventional SHapley Additive exPlanations (SHAP) values (a measure of feature contribution to the algorithm’s output) for each input feature across all patients in the derivation cohort.
    12K
  • user avatar
    NEJM AI
    @NEJM_AI
    Jun 18, 2025
    How accurate is GPT-4 at extracting data from EHRs? This study tested @NIH’s Text Extraction Program on prostate pathology reports & found 99.8% accuracy vs. manual review, showing strong potential for GPT-4 + prompt engineering in clinical data workflows. nejm.ai/4dw8Boz
    Figure 2. Schematic of the NTEP Structure within NIDAP.
    25K
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    NEJM AI
    @NEJM_AI
    Mar 4, 2024
    Med-PaLM Multimodal, a proof-of-concept for a generalist biomedical AI system, is a large multimodal generative model that flexibly encodes and interprets biomedical data. Read the full article by @taotu831, PhD, et al.: nejm.ai/3IfDwGF
    Figure 1. Med-PaLM M Overview.
    22K
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    NEJM AI
    @NEJM_AI
    Nov 14, 2023
    GPT-4 correctly diagnosed 57% of complex medical case challenges, outperforming >99% of simulated human readers generated from online answers. Read "Use of GPT-4 to Diagnose Complex Clinical Cases" by Drs. Alexander Eriksen, Sören Möller & @JesperRyg: nejm.ai/3u9fWYp
    Use of GPT-4 to Diagnose Complex Clinical Cases
    From nejmgroup-production.org
    42K
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    NEJM AI
    @NEJM_AI
    Jan 3, 2025
    The pilot deployment of an AI-based automated grading system for medical student post-encounter learner notes using established rubrics achieved 90% agreement with expert human assessors while accelerating turnaround time and reducing manual effort. nejm.ai/49gyS8i
    Figure 1. Workflow of OSCE Post-Encounter Notes Grading.
    42K
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    NEJM AI
    @NEJM_AI
    Nov 19, 2024
    Editorial @David_Ouyang, MD, and Joseph Hogan, ScD (@jwhogan42): We Need More Randomized Clinical Trials of AI nejm.ai/4hfETpq #ArtificialIntelligence
    Page 1 of the editorial "We Need More Randomized Clinical Trials of AI."
    14K
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    NEJM AI
    @NEJM_AI
    Mar 18, 2024
    AI models perform better when trained on underlying measurements rather than the associated diagnoses, because dichotomizing data loses information that is useful in training AI models. Read the Case Study by @amey_vrudhula, BS, et al.: nejm.ai/3PjiqeI
    Case Study 
The Impact of Task Set-up in Algorithm Design: Regression versus Classification 
Figure 1. Classification versus Regression Model Calibration.
    79K
  • user avatar
    NEJM AI
    @NEJM_AI
    Nov 7, 2024
    The authors of a new Case Study demonstrate that large language models with interoperable electronic health record data can perform abstractions for complex quality measures that are accurate, consistent, timely, and scalable. Read the study: nejm.ai/40cJ0wn
    Figure 1. System Architecture for Automation of Hospital Quality Measures.
    28K
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    NEJM AI
    @NEJM_AI
    Apr 20, 2024
    A nationwide study found that an AI language model outperformed physicians in medical board residency exams across multiple specialties. Learn more in "GPT versus Resident Physicians — A Benchmark Based on Official Board Scores" by @uriel_katz_, et al. nejm.ai/3Q7hB9j
    Figure 1 from an article titled "GPT versus Resident Physicians — A Benchmark Based on Official Board Scores": Distribution of GPT Examination Score Percentiles among Physicians.
Generative pretrained transformer (GPT) model percentiles among physicians on 120 attempts at the examination for every medical specialty are shown. The dotted red lines mark the percentile corresponding with a passing score. The graphic was created by the authors using data from the 2022 Israeli board residency examinations and results from the GPT models. OB/GYN denotes obstetrics and gynecology.
    85K

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