关键词: artificial intelligence cardiac imaging clinical trials deep learning digital health generative AI health equity implementation science innovation large language models machine learning

Mesh : Humans Artificial Intelligence Cardiovascular Diseases / therapy diagnosis Cardiology

来  源:   DOI:10.1016/j.jacc.2024.03.401

Abstract:
Recent artificial intelligence (AI) advancements in cardiovascular care offer potential enhancements in effective diagnosis, treatment, and outcomes. More than 600 U.S. Food and Drug Administration-approved clinical AI algorithms now exist, with 10% focusing on cardiovascular applications, highlighting the growing opportunities for AI to augment care. This review discusses the latest advancements in the field of AI, with a particular focus on the utilization of multimodal inputs and the field of generative AI. Further discussions in this review involve an approach to understanding the larger context in which AI-augmented care may exist, and include a discussion of the need for rigorous evaluation, appropriate infrastructure for deployment, ethics and equity assessments, regulatory oversight, and viable business cases for deployment. Embracing this rapidly evolving technology while setting an appropriately high evaluation benchmark with careful and patient-centered implementation will be crucial for cardiology to leverage AI to enhance patient care and the provider experience.
摘要:
最近的人工智能(AI)在心血管护理方面的进步提供了有效诊断的潜在增强,治疗,和结果。现在有600多种食品和药物管理局(FDA)批准的临床AI算法,10%的人专注于心血管应用,强调AI增加护理的机会越来越多。这篇综述讨论了人工智能领域的最新进展,特别关注多模态输入的利用和生成AI领域。本评论中的进一步讨论涉及一种方法来理解AI增强护理可能存在的更大背景,并讨论了严格评估的必要性,用于部署的适当基础设施,道德和公平评估,监管监督,和可行的业务部署案例。在采用这种快速发展的技术的同时,通过谨慎和以患者为中心的实施设置适当的高评估基准,对于心脏病学利用AI来增强患者护理和提供者体验至关重要。
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