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Artificial intelligence in cardiovascular practice.

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  • 1Marci Farquhar-Snow is a retired assistant professor, formerly practicing in the Department of Cardiovascular Medicine at Mayo Clinic College of Medicine and Science in Scottsdale, Ariz. Amy E. Simone is a consultant at Edwards Lifesciences in Burlingame, Calif. Sheel V. Singh is a second-year student in the PhD program in Health and Rehabilitation Sciences at Massachusetts General Hospital Institute of Health Professions in Boston, Mass. Reamer L. Bushardt is provost and vice president for academic affairs and a professor at Massachusetts General Hospital Institute of Health Professions, as well as a research associate in the Department of Physical Medicine and Rehabilitation at Harvard Medical School in Boston, Mass. Marci Farquhar-Snow serves on the Cardiovascular Team Editorial Board at the Journal of the American College of Cardiology . Amy E. Simone is chair-elect, CV Team Section Leadership Council, American College of Cardiology, and founder of JC Medical. Reamer L. Bushardt is editor-in-chief emeritus of JAAPA . The authors have disclosed no other potential conflicts of interest, financial or otherwise.

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PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is transforming cardiovascular care by introducing new models and applications. Clinicians play a vital role in the ethical development and adoption of these advanced AI technologies.

Keywords:
AIadvanced practice providersartificial intelligencecardiovascular diseasemachine learningrobotics

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Area of Science:

  • Cardiology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly prevalent across various sectors.
  • Its application in cardiovascular care is rapidly expanding, necessitating a clear understanding of its use.

Purpose of the Study:

  • To explore common artificial intelligence (AI) models used in cardiovascular care.
  • To examine how AI is transforming healthcare delivery in cardiology.
  • To define the roles of clinicians in the development, adoption, evaluation, and ethical implementation of AI.

Main Methods:

  • Review of current artificial intelligence (AI) models in cardiovascular medicine.
  • Analysis of AI's impact on healthcare delivery processes.
  • Discussion of clinical responsibilities in AI integration.

Main Results:

  • Identified common AI models applicable to cardiovascular conditions.
  • Demonstrated AI's potential to enhance diagnostic accuracy and treatment personalization.
  • Highlighted the critical need for clinician involvement in AI governance.

Conclusions:

  • Artificial intelligence (AI) offers significant potential to advance cardiovascular care.
  • Clinicians, including advanced practice providers, are essential for the responsible and effective integration of AI.
  • Ethical considerations and rigorous evaluation are paramount for successful AI adoption in cardiology.