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Area of Science:

  • Cardiovascular Imaging
  • Medical Technology
  • Interventional Cardiology

Background:

  • Intravascular optical coherence tomography (IVOCT) provides high-resolution imaging of coronary vessels.
  • Its detailed visualization aids in characterizing plaques and guiding percutaneous coronary intervention.
  • Widespread adoption is hindered by the complex interpretation skills required.

Purpose of the Study:

  • To review current and future technological advancements in IVOCT.
  • To demonstrate how these developments can assist healthcare professionals in IVOCT utilization.
  • To explore the role of artificial intelligence in enhancing IVOCT interpretation and application.

Main Methods:

  • Review of existing literature on IVOCT technology and applications.
  • Analysis of artificial intelligence tools integrated into contemporary IVOCT systems.
  • Discussion of potential future technological developments and their impact on clinical practice.

Main Results:

  • IVOCT offers detailed cross-sectional and 3D volumetric imaging of coronary anatomy.
  • Artificial intelligence is increasingly used to improve human interaction and decision-making with IVOCT data.
  • Technological advancements aim to simplify interpretation and broaden IVOCT's clinical utility.

Conclusions:

  • Technological innovations, particularly AI, are crucial for overcoming IVOCT interpretation challenges.
  • Future developments promise to enhance the operator's ability to leverage IVOCT for improved patient care.
  • Streamlining IVOCT utilization through technology can facilitate its wider adoption in interventional cardiology.