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https://professional.heart.org/en/science-news/patient-resources/key-patient-messages-2023-atrial-fibrillation-clinical-practice-guideline Key Patient Messages: 2023 Atrial Fibrillation Clinical Practice Guideline - Professional Heart... Guide your AFib patients with the latest insights from the 2023 Clinical Practice Guideline. Empower them for better outcomes. Share this vital information now. clinical practice guideline patient messages atrial fibrillation key https://professional.heart.org/en/science-news/patient-resources/key-patient-messages-2023-chronic-coronary-disease-guideline Key Patient Messages: Chronic Coronary Disease Guideline - Professional Heart Daily | American... Prioritize heart health: Manage cholesterol, monitor blood pressure, stay active, eat well, quit smoking, and explore new treatments with a supportive team. professional heart daily patient messages coronary disease key chronic https://www.epicshare.org/share-and-learn/mayo-ai-message-responses EpicShare | Share & Learn | Gen AI Saves Nurses Time by Drafting Responses to Patient Messages Mayo Clinic uses generative AI to draft responses to patient messages. Initial pilots showed that it saves nurses around 30 seconds per message and drafts more... https://www.cs.jhu.edu/news/ai-written-patient-messages-could-boost-innovation-in-clinical-care-study-shows/ AI-written patient messages could boost innovation in clinical care, study shows - Department of... Johns Hopkins researchers show that large language models can generate realistic patient data for training AI models without compromising individual privacy. https://home.dartmouth.edu/news/2025/06/ai-helps-streamline-patient-portal-messages AI Helps Streamline Patient Portal Messages | Dartmouth patient portal ai helps streamline messages https://home.dartmouth.edu/news/2025/06/ai-helps-streamline-patient-portal-messages?date-from=2014-01-01&keywords=dartmouth&page=4 AI Helps Streamline Patient Portal Messages | Dartmouth patient portal ai helps streamline messages https://pmc.ncbi.nlm.nih.gov/articles/PMC12089757/ Detecting emergencies in patient portal messages using large language models and knowledge... This study aims to develop and evaluate an approach using large language models (LLMs) and a knowledge graph to triage patient messages that need emergency... large language models in patient