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Mashup Score: 3
Artificial intelligence (AI) will have unintended consequences for radiology as the applications of AI use in patient care continue to expand. When a radiologist misses an abnormality on an image, …
Source: ai.nejm.orgCategories: General Medicine News, NephrologyTweet
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Mashup Score: 2Development and Commercialization Pathways of AI Medical Devices in the United States: Implications for Safety and Regulatory Oversight - 11 day(s) ago
The landscape of U.S. Food and Drug Administration–regulated artificial intelligence–enabled medical devices (AIMDs) has expanded rapidly, with clearances and authorizations increasing, on average,…
Source: ai.nejm.orgCategories: General Medicine NewsTweet-
Development and Commercialization Pathways of AI Medical Devices in the United States: Implications for Safety and @US_FDA Regulatory Oversight https://t.co/gxUoMZvWKy via @TinglongDai et al https://t.co/uKnQXaKiW2
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Mashup Score: 6
This article presents a comprehensive analysis of how artificial intelligence (AI)–generated medical responses are perceived and evaluated by nonexperts. We conducted a study in which a total of 30…
Source: ai.nejm.orgCategories: General Medicine NewsTweet-
People Overtrust AI-Generated Medical Advice despite Low Accuracy | NEJM AI https://t.co/eNOMubN9d4
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Mashup Score: 5
Unpacking an important application of model calibration for an out-of-the-box artificial intelligence algorithm used to flag patients who are at high risk for hypertrophic cardiomyopathy, this arti…
Source: ai.nejm.orgCategories: General Medicine NewsTweet-
Model Calibration, Interpretability, and Decision-Making with AI-Based Risk Scores https://t.co/obTEgvOHe7 via @jwhogan42 & @venkmurthy et al https://t.co/rD1q6tbve3
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Mashup Score: 11
Artificial intelligence (AI) has the potential to transform cancer therapeutic decision-making by improving diagnostics and personalizing treatments. This review explores the current and future imp…
Source: ai.nejm.orgCategories: General Medicine NewsTweet-
RT @UsuarezMD: The Use of Artificial Intelligence for Cancer Therapeutic Decision-Making | NEJM AI https://t.co/94WB6p4ilE
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Mashup Score: 1
Integrating large language models (LLMs) into health care has the potential to improve data extraction from electronic health records (EHRs). In this study, we assess the extraction accuracy of our…
Source: ai.nejm.orgCategories: General Medicine NewsTweet-
LLM-Mediated Data Extraction from Patient Records after Radical Prostatectomy https://t.co/2dJId5OGd3 via @williamazar_ et al @VincentGnanapr3 @LondonProstate1 https://t.co/nmOhJDUpNM
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Mashup Score: 8Opportunistic Screening of Chronic Liver Disease with Deep-Learning–Enhanced Echocardiography - 29 day(s) ago
Chronic liver disease (CLD) affects more than 1.5 billion adults, most of whom are asymptomatic and undiagnosed. Echocardiography is broadly performed and visualizes the liver, but this information…
Source: ai.nejm.orgCategories: General Medicine NewsTweet-
@NEJM_AI @Yuki_Sahashi @SmidtHeart @milos_ai @HD3vedi @jonc101x @rheejust @StanfordMed This AI for opportunistic screening can be used to identify subclinical liver disease in order to treat at an early stage, and we hope to study #EchoNet-Liver's impact in prospective clinical trial! Paper: https://t.co/iJ4nILGrG8 Code: https://t.co/DYEIpK4AaY Press Release:… https://t.co/JuNmxw4kGb
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Mashup Score: 140
Coronary artery calcium (CAC) is highly predictive of cardiovascular events. Although millions of chest computed tomography (CT) scans are performed annually in the United States, CAC is not routin…
Source: ai.nejm.orgCategories: General Medicine News, Expert PicksTweet-
Another example of opportunistic A.I. applied to medical imaging. @NEJM_AI Quantifying coronary artery calcium score from chest CT (nongated, not performed for this purpose) https://t.co/nxG94xyunb https://t.co/Sd5cOdF6SQ
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Mashup Score: 2
Pediatric glioma recurrence can cause morbidity and mortality; however, recurrence patterns and severity are heterogeneous and challenging to predict with established clinical and genomic markers. …
Source: ai.nejm.orgCategories: General Medicine NewsTweet-
Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep Learning https://t.co/xXXSPh2dqU
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Mashup Score: 221
Generative artificial intelligence (Gen-AI) chatbots hold promise for building highly personalized, effective mental health treatments at scale, while also addressing user engagement and retention …
Source: ai.nejm.orgCategories: General Medicine News, Expert PicksTweet-
The first randomized trial of a generative A.I. chatbot shows promise for treating mental health symptoms in major depressive disorder, generalized anxiety disorder and eating disorder @NEJM_AI open-access https://t.co/eTvC0IVUw7 https://t.co/cBK4B4fLrZ
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Randomized Study of the Impact of AI on Perceived Legal Liability for Radiologists | NEJM AI https://t.co/MZvSY7sZ0f