Artificial intelligence (AI) and digital technology advances have emerged as catalysts for changing how we diagnose, treat and manage patients. The following collection of AI resources has been curated to support ACC members in understanding and applying AI in the digital transformation of care delivery.
Introduction to AI
How can AI shape health care? Delve into the following resources for insights and perspectives on the role of AI in cardiology.
- AI in Cardiology: Improving Outcomes for All | JACCRead this special issue from JACC: Advances showcasing emerging areas of science that will alter the practice of cardiovascular medicine.
- Health Equity and AI in Health Systems | JACCThis viewpoint explores how AI can democratize healthcare, while addressing the regulatory and commercial challenges to its successful adoption.
- Prospective Human Validation of AI Interventions in Cardiology: A Scoping Review | JACCThis study identifies AI interventions in cardiology that have been prospectively validated against expert benchmarks, evaluating their effectiveness and highlighting areas for future research.
- AI: An Opportunity to Revolutionize Health Care? Investigating AI's potential in cardiology.
- AI in Cardiology: I Am Robot A podcast exploring AI's impact in cardiology.
- Impact of AI on Interventional Cardiology From decision-making aid to advanced interventional procedure assistance.
- Artificial Intelligence for Cardiovascular Care — Part 1: Advances: JACC Review Topic of the Week | JACC AI's role in improving diagnosis, treatment and outcomes in cardiovascular care.
- Artificial Intelligence in Cardiovascular Care — Part 2: Applications: JACC Review Topic of the Week | JACC Review of recent advancements in AI, focusing on multimodal inputs and generative AI and the broader context of AI-augmented care.
Webinars and Education
The ACC Innovation Program focuses on how advances in AI can support the ACC's Mission to transform cardiovascular care and improve heart health for all. Use the following webinars, workbooks and other educational resources to help implement AI into practice.
- Automated Assessment of Right Atrial Pressure from Ultrasound Videos Using Machine LearningThe study aimed to evaluate whether machine learning models can accurately estimate RAP from echocardiogram data.
- Impact of Case and Control Selection on Training AI Screening of Cardiac Amyloidosis (CA)This study evaluates the performance of electrocardiogram waveform-based AI models for CA screening and assesses impact of different criteria for defining cases and controls.
- Navigating the AI Landscape Choosing the right AI tool for your medical practice.
- Novel Utilization of Large Language Models in Care Delivery Integrating AI language models into patient care.
- AI in Cardiovascular Imaging Webinar – Part 1 What every cardiovascular imager should know.
- AI in Cardiovascular Imaging Webinar – Part 2 AI's impact on cardiovascular imaging.
- Point of Care Ultrasound (POCUS) Innovation Workbook Guide to implementing POCUS in clinical settings.
- ACC Anywhere Log in or activate your account to access ACC's on-demand video library. Search "Artificial Intelligence" for curated content from ACC's live meetings and more. †
AI Regulations and Policies
Governments, agencies, and medical societies around the world are increasingly developing policies and principles to guide the implementation and use of AI. Explore key regulations and guidelines from the U.S., E.U. and the World Health Organization (WHO).
- White House AI Bill of Rights Blueprint Framework for AI utilization in the U.S.
- WHO Ethics and Governance of AI for Health Executive Summary
- WHO Ethics and Governance of AI for Health Large Multi-modal Models
- Supercharging Research: Harnessing AI to Meet Global ChallengesThe President's Council of Advisors on Science and Technology issued this report on how AI can revolutionize research to address societal and global challenges, particularly in life sciences.
- ONC's HTI-1 Final RuleThe HTI-1 final rule establishes transparency requirements for AI in certified health IT. The ACC submitted comments on AI transparency and decision support intervention provisions.
- White House Office of Science Technology and Policy (OSTP) Request for Information: National Priorities for AIThe ACC responded to OSTP's request for input on a national AI strategy, advocating for a unified governance framework that fosters equitable AI systems.
- White House Executive Order on the Safe, Secure, and Trustworthy Development and Use of AIIn Oct. 2023, the Biden Administration issued an executive order mandating federal agencies to create policies ensuring AI safety, security, transparency, and equity.
- National Institute of Standards and Technology (NIST)'s Guidance on Safety, Security and Trustworthiness of AI SystemsIn May 2024, NIST released a series of publications in response to President Biden's Executive Order on the Safe, Secure, and Trustworthy Development of AI, including drafts on AI risk management, transparency in digital content, and global AI standards.
- CPT® Appendix S AI taxonomy for medical services and procedures
- E.U. AI Act AI regulation framework in the E.U.
- E.U. AI Act Tool E.U. AI Act Compliance Checker
The AI Resource Center was created with support from AstraZeneca.
- †You can access ACC Anywhere with your ACC.org login information.
- ‡ This content was developed independently from the content developed for ACC.org. This content was not reviewed by the ACC and is provided on an "as is" basis. Inclusion on ACC.org does not constitute a guarantee or endorsement by the ACC and ACC makes no warranty that the content is accurate, complete or error-free.
