NEJM AI
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NEJM AI is an interdisciplinary journal facilitating dialogue among stakeholders invested in using AI to transform medicine. NEJM AI intentionally pairs “pre-clinical” and clinical articles to deliver critical context to both clinicians and non-clinician researchers. The journal bridges the fast-moving developments in AI, informatics, and technology in medicine with the application of these advancements to clinical practice. NEJM AI covers the application of AI methodologies and data science to biomedical informatics, connected health, telemedicine, medical images and imaging, personalized medicine, policy and regulation, and the ethical and medicolegal implications of AI. Source
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| Scope | National |
|---|---|
| Language | English |
| Country | United States of America |
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Recent Articles
Search ArticlesBuilding an AI-Ready Evidence Base for Behavior Change
Reference 1 Abstract Notes Supplementary Material Information & Authors Metrics & Citations Get Access References Media Tables Share Abstract AI has begun to make an impact on the development of interventions to promote healthier behaviors and assist with disease management, primarily through apps and chatbots, but also in health communication campaigns and government policies.
Building an AI-Ready Evidence Base for Behavior Change
Reference 1 Abstract Notes Supplementary Material Information & Authors Metrics & Citations Get Access References Media Tables Share Abstract AI has begun to make an impact on the development of interventions to promote healthier behaviors and assist with disease management, primarily through apps and chatbots, but also in health communication campaigns and government policies.
Language Models for Value-Informed Proxy Decision Support
Reference 1 Abstract Notes Supplementary Material Information & Authors Metrics & Citations Get Access References Media Tables Share Abstract When patients lose decision-making capacity, large language models (LLMs) may help proxies choose treatments that honor incapacitated patients’ values and preferences, especially when advance directives or formally identified proxies are ambiguous or unavailable.
Language Models for Value-Informed Proxy Decision Support
Reference 1 Abstract Notes Supplementary Material Information & Authors Metrics & Citations Get Access References Media Tables Share Abstract When patients lose decision-making capacity, large language models (LLMs) may help proxies choose treatments that honor incapacitated patients’ values and preferences, especially when advance directives or formally identified proxies are ambiguous or unavailable.
Language Models for Value-Informed Proxy Decision Support
Reference 1 Abstract Notes Supplementary Material Information & Authors Metrics & Citations Get Access References Media Tables Share Abstract When patients lose decision-making capacity, large language models (LLMs) may help proxies choose treatments that honor incapacitated patients’ values and preferences, especially when advance directives or formally identified proxies are ambiguous or unavailable.
Building an AI-Ready Evidence Base for Behavior Change
Reference 1 Abstract Notes Supplementary Material Information & Authors Metrics & Citations Get Access References Media Tables Share Abstract AI has begun to make an impact on the development of interventions to promote healthier behaviors and assist with disease management, primarily through apps and chatbots, but also in health communication campaigns and government policies.
Parental Perspectives on Using Large Language Model–Powered Chatbots in Rare Disease Care
Reference 1 Abstract Notes Supplementary Material Information & Authors Metrics & Citations Get Access References Media Tables Share Abstract Background Parents of children with rare pediatric illnesses have high information needs. Large language model chatbots are AI tools parents can use to seek information.
Parental Perspectives on Using Large Language Model–Powered Chatbots in Rare Disease Care
Reference 1 Abstract Notes Supplementary Material Information & Authors Metrics & Citations Get Access References Media Tables Share Abstract Background Parents of children with rare pediatric illnesses have high information needs. Large language model chatbots are AI tools parents can use to seek information.
Parental Perspectives on Using Large Language Model–Powered Chatbots in Rare Disease Care
Reference 1 Abstract Notes Supplementary Material Information & Authors Metrics & Citations Get Access References Media Tables Share Abstract Background Parents of children with rare pediatric illnesses have high information needs. Large language model chatbots are AI tools parents can use to seek information.