医学
软件部署
杠杆(统计)
食品药品监督管理局
背景(考古学)
人工智能
病人护理
人工智能应用
颠覆性技术
工程伦理学
风险分析(工程)
计算机科学
护理部
工程类
操作系统
生物
古生物学
制造工程
作者
Sneha S. Jain,Pierre Elias,Timothy J. Poterucha,Michael Randazzo,Francisco López Jiménez,Rohan Khera,Marco Perez,David Ouyang,James P. Pirruccello,Michael Salerno,Andrew J. Einstein,Robert Avram,Geoffrey H. Tison,Girish N. Nadkarni,Vivek T. Natarajan,Emma Pierson,Ashley Beecy,Deepa Kumaraiah,Chris Haggerty,Jennifer N. Avari Silva,Thomas M. Maddox
标识
DOI:10.1016/j.jacc.2024.03.401
摘要
Recent Artificial Intelligence (AI) advancements in cardiovascular care offer potential enhancements in effective diagnosis, treatment, and outcomes. Over 600 Food and Drug Administration (FDA)-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.
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