AdvaMed itemizes AI imperatives for ‘the entire healthcare ecosystem’ aiin.healthcare/topics/artificial-intelligence/advamed-itemizes-ai-imperatives-entire-healthcare-ecosystem Leverage existing regulatory frameworks and promote international alignment to ensure timely patient access to innovative AI/ML-enabled medical technologies.   Protect privacy of patient data with transparency and consent. Enable access to data and utilization for the benefit of patients.  

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CMIMI 2024 AI news

Resources > Conference > CMIMI > CMIMI 2024 | AuntMinnie www.auntminnie.com/resources/conference/cmimi/2024 CMIMI: LLMs can monitor AI software after deployment | AuntMinnie www.auntminnie.com/resources/conference/cmimi/2024/article/15706527/cmimi-llms-can-monitor-ai-software-after-deployment CMIMI: ChatGPT classifies clinically significant breast pain | AuntMinnie www.auntminnie.com/resources/conference/cmimi/2024/article/15706430/cmimi-chatgpt-classifies-clinically-significant-breast-pain CMIMI: CT-based AI framework improves splenomegaly diagnosis | AuntMinnie www.auntminnie.com/resources/conference/cmimi/2024/article/15706426/cmimi-ctbased-ai-framework-improves-splenomegaly-diagnosis

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Introducing healthcare agent service in Microsoft Copilot Studio

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The Physical and Psychological Effects of Telerehabilitation-Based Exercise for Patients With Nonspecific Low Back Pain: Prospective Randomized Controlled Trial

Shi W, Zhang Y, Bian Y, Chen L, Yuan W, Zhang H, Feng Q, Zhang H, Liu D, Lin Y The Physical and Psychological Effects of Telerehabilitation-Based Exercise for Patients With Nonspecific Low Back Pain: Prospective Randomized Controlled Trial JMIR Mhealth Uhealth 2024;12:e56580 URL: mhealth.jmir.org/2024/1/e56580 DOI: 10.2196/56580

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Le diagnostic rapide et fiable de l’IDM aux Urgences : c’est possible

Le diagnostic rapide et fiable de l’IDM aux Urgences : c’est possible www.jim.fr/viewarticle/diagnostic-rapide-et-fiable-lidm-aux-urgences-c-possible-2024a1000g10?ecd=wnl_all_240904_jim_daily-doctor_etid6802095&uac=401112HV&impID=6802095&sso=true Présentée à l’ESC 2024 et publiée dans le Lancet Digital Health, cette étude rétrospective montre qu’un algorithme pourrait aider à un triage efficace des patients suspects d’IDM à partir d’un seul dosage de troponine-hs au chevet du

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