Artificial Intelligence in Cardiovascular Care-Part 2: Applications: JACC Review Topic of the Week

Area of Science:

• Cardiology
• Medical Informatics
• Artificial Intelligence

Background:

• Over 600 U.S. Food and Drug Administration-approved clinical AI algorithms exist.
• Approximately 10% of these algorithms focus on cardiovascular applications, indicating significant growth.
• AI presents opportunities to enhance cardiovascular diagnosis, treatment, and patient outcomes.

Purpose of the Study:

• To review the latest advancements in artificial intelligence within cardiovascular care.
• To focus on the use of multimodal inputs and generative AI.
• To discuss the broader context of AI-augmented cardiovascular care, including evaluation, infrastructure, ethics, and regulation.

Main Methods:

• Literature review of recent advancements in AI for cardiovascular applications.
• Analysis of AI utilization, focusing on multimodal inputs and generative AI.
• Discussion of implementation factors: evaluation, infrastructure, ethics, equity, regulation, and business models.

Main Results:

• AI is increasingly prevalent in cardiovascular care, with growing FDA approvals.
• Multimodal inputs and generative AI represent key areas of advancement.
• Successful AI integration requires careful consideration of infrastructure, ethics, and regulatory frameworks.

Conclusions:

• AI holds significant potential to augment cardiovascular care, improving diagnosis, treatment, and outcomes.
• Patient-centered implementation, rigorous evaluation, and ethical considerations are crucial for leveraging AI effectively.
• Cardiology must embrace AI while maintaining high standards for patient care and provider experience.