Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review,Journal of the American College of Cardiology

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Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review
Journal of the American College of Cardiology ( IF 21.7 ) Pub Date : 2024-06-24 , DOI: 10.1016/j.jacc.2024.05.003
Rohan Khera ₁ , Evangelos K Oikonomou ₂ , Girish N Nadkarni ₃ , Jessica R Morley ₄ , Jenna Wiens ₅ , Atul J Butte ₆ , Eric J Topol ₇

Affiliation

Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA; Center for Outcomes Research and Evaluation (CORE), New Haven, Connecticut, USA; Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Connecticut, USA; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
The Samuel Bronfman Department of Medicine, Division of Data Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Digital Ethics Center, Yale University, New Haven, Connecticut, USA.
Electrical Engineering and Computer Science, Computer Science and Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, California, USA; Center for Data-Driven Insights and Innovation, University of California Health, Oakland, California, USA.
Molecular Medicine, Scripps Research Translational Institute, Scripps Research, La Jolla, California, USA.

Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice and research. The exponential rise in technology powered by AI is defining new frontiers in cardiovascular care, with innovations that span novel diagnostic modalities, new digital native biomarkers of disease, and high-performing tools evaluating care quality and prognosticating clinical outcomes. These digital innovations promise expanded access to cardiovascular screening and monitoring, especially among those without access to high-quality, specialized care historically. Moreover, AI is propelling biological and clinical discoveries that will make future cardiovascular care more personalized, precise, and effective. The review brings together these diverse AI innovations, highlighting developments in multimodal cardiovascular AI across clinical practice and biomedical discovery, and envisioning this new future backed by contemporary science and emerging discoveries. Finally, we define the critical path and the safeguards essential to realizing this AI-enabled future that helps achieve optimal cardiovascular health and outcomes for all.

中文翻译：

用人工智能改变心血管护理：从发现到实践：JACC 最先进的评论

人工智能 (AI) 有潜力改变心血管实践和研究的各个方面。人工智能驱动的技术呈指数级增长，正在定义心血管护理的新领域，其创新涵盖新颖的诊断模式、新的疾病数字原生生物标志物以及评估护理质量和预测临床结果的高性能工具。这些数字创新有望扩大心血管筛查和监测的范围，尤其是那些历史上无法获得高质量专业护理的人。此外，人工智能正在推动生物学和临床发现，这将使未来的心血管护理更加个性化、精确和有效。该评论汇集了这些不同的人工智能创新，强调了多模式心血管人工智能在临床实践和生物医学发现方面的发展，并展望了由当代科学和新兴发现支持的新未来。最后，我们定义了实现人工智能驱动的未来所必需的关键路径和保障措施，帮助所有人实现最佳的心血管健康和结果。

更新日期：2024-06-24

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