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Mashup Score: 119Does AI-Powered Clinical Documentation Enhance Clinician Efficiency? A Longitudinal Study - 2 month(s) ago
Nuance’s Dragon Ambient eXperience (DAX) Copilot is an artificial intelligence (AI)–driven ambient clinical documentation software platform. Atrium Health, a large multisite academic learning healt…
Source: ai.nejm.orgCategories: General Medicine News, Expert PicksTweet
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Mashup Score: 12Development and Validation of a Multimodal Multitask Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence - 2 month(s) ago
Specialized single-use, single-modality models often have limited or no generalization to new diseases, modalities, and clinical tasks. Foundation models are built for multipurpose use, enabling th…
Source: ai.nejm.orgCategories: General Medicine News, CardiologistsTweet-
RT @zakkohane: Foundation model for ophthalmology w 3.4 million images from over 500,000 individuals @NEJM_AI https://t.co/zCl4M4YnKF for d…
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Mashup Score: 0Cognitive Biases and Artificial Intelligence - 2 month(s) ago
Generative artificial intelligence (AI) models are increasingly utilized for medical applications. We tested whether such models are prone to human-like cognitive biases when offering medical recom…
Source: ai.nejm.orgCategories: General Medicine News, Hem/OncsTweet-
Cognitive Biases and Artificial Intelligence | NEJM AI https://t.co/ybuDp3xjDs "the susceptibility of AI models to make errors has no simple remedy. An awareness of cognitive biases is needed to make progress toward improvement" @NicoleKuderer @DukeCancer @fredhutch
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Mashup Score: 3The EU AI Act: Implications for U.S. Health Care - 3 month(s) ago
The European Union’s Artificial Intelligence Act (AIA), which took effect on August 1, 2024, establishes the world’s first comprehensive legal framework for AI, with significant implications for me…
Source: ai.nejm.orgCategories: General Medicine News, Hem/OncsTweet-
The EU AI Act: Implications for U.S. Health Care | NEJM AI https://t.co/V9qm041T5j
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Mashup Score: 14
While previous studies of artificial intelligence (AI) have shown its potential for diagnosing diseases using imaging data, clinical implementation lags behind. AI models require training with larg…
Source: ai.nejm.orgCategories: General Medicine News, Hem/OncsTweet-
AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics | NEJM AI https://t.co/aASwxX6wHT
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Mashup Score: 3
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…
Source: ai.nejm.orgCategories: General Medicine News, Hem/OncsTweet-
Large Language Models for More Efficient Reporting of Hospital Quality Measures https://t.co/mbzksYE6dT via @kdpsinghlab et al https://t.co/WpE9WgaIV0
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Mashup Score: 36
Use of artificial intelligence (AI) in cardiovascular imaging may potentially augment clinical decision-making in disease management, but no prospective randomized controlled trials have assessed t…
Source: ai.nejm.orgCategories: General Medicine News, CardiologistsTweet-
Congratulations to @DrRossUpton @GarywoodwardPHD and the rest of the @ultromics team for publishing the first multiple center RCT of stress echocardiography in @NEJM_AI! https://t.co/IEjYIWwlvQ @ASE360 @PaulLeeson @NIHRresearch
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Mashup Score: 1Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis - 6 month(s) ago
Expert feedback lays the foundation of rigorous research. However, the rapid growth of scholarly production challenges the conventional scientific feedback mechanisms. High-quality peer reviews are…
Source: ai.nejm.orgCategories: General Medicine News, Hem/OncsTweet-
Can GPT-4 provide useful feedback on research papers? It's a fascinating idea. However, it's important to first review the paper yourself and then use GPT-4 to confirm concordance, potentially increasing accuracy. https://t.co/jtCUYtmXRS
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Mashup Score: 3Do We Need Data Standards in the Era of Large Language Models? - 6 month(s) ago
Data standards for the health information ecosystem have played a critical role in enabling software integration across health care enterprises for data sharing, analysis, clinical research, and pu…
Source: ai.nejm.orgCategories: General Medicine News, General HCPsTweet-
RT @JoshCMandel: @english_august @zakkohane @NEJM_AI @bratogram @MattBMcDermott https://t.co/C5UoZ8bIoF
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Mashup Score: 69A Call for Artificial Intelligence Implementation Science Centers to Evaluate Clinical Effectiveness - 6 month(s) ago
Artificial intelligence (AI) holds significant promise for revolutionizing health care by enhancing diagnosis, treatment, and patients’ safety. However, the current disparity between the abundance …
Source: ai.nejm.orgCategories: General Medicine News, General HCPsTweet-
A Call for #AI Implementation Science Centers to Evaluate Clinical Effectiveness of AI Models in Real-World settings An important clarion call In @NEJM_AI by @CALonghurst @atreja @aneeshchopra @kdpsinghlab @johnbrownstein https://t.co/CNDiZFppRL
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On #AI Scribes in medicine —Lack of improved efficiency in a controlled study https://t.co/hI6vrNVrXo open-access @NEJM_AI —A thoughtful essay for what changes are needed when clinicians become editors https://t.co/BmlADMS2If @TheLancet @laurenfklein @iandarin @maria_antoniak https://t.co/loEEvBlkLm