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Current and Future Applications of Artificial Intelligence in Coronary Artery Disease

Nitesh Gautam1, Prachi Saluja1, Abdallah Malkawi2

  • 1Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.

Healthcare (Basel, Switzerland)
|February 25, 2022
PubMed

Insights

Artificial intelligence (AI) is transforming cardiovascular medicine, particularly in coronary artery disease (CAD) management. This review highlights AI

Area of Science:

  • Cardiovascular Medicine
  • Artificial Intelligence
  • Machine Learning

Background:

  • Cardiovascular diseases (CVDs) cause significant morbidity, mortality, and economic burden globally.
  • Coronary artery disease (CAD), a subset of CVDs, affects millions and incurs substantial healthcare costs.
  • Artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools in cardiovascular medicine.

Purpose of the Study:

  • To review recent advances in AI applications for coronary artery disease.
  • To identify current limitations of AI in CAD management.
  • To discuss future perspectives for AI in the field of CAD.

Main Methods:

  • Literature review of AI and ML applications in coronary artery disease.
  • Analysis of AI's role in risk prediction, imaging, and treatment decision support.
  • Synthesis of current challenges and future research directions.

Main Results:

  • AI demonstrates promise in areas such as genetic interaction analysis, clinical risk prediction models, and advanced cardiac imaging for CAD.
  • AI tools are being developed for automatic interpretation of heart rhythm disorders and assisting clinical decision-making.
  • AI applications show potential for improving mortality outcomes in patients with CAD.

Conclusions:

  • AI is rapidly advancing cardiovascular medicine, offering innovative solutions for coronary artery disease.
  • Addressing current limitations and exploring future perspectives are crucial for maximizing AI's impact on CAD.
  • AI holds significant potential to enhance the diagnosis, treatment, and outcomes of coronary artery disease.

Keywords:
artificial intelligencecardiac computed tomographycoronary artery diseasefractional flow reservemajor adverse cardiovascular events

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