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August 13, 2026Open Access

Artificial Intelligence-Assisted Automated Optical Coherence Tomography Analysis for PCI Planning: From Plaque Analysis to Precision Lesion Preparation and Stent Optimization

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Authors

KMKevin MoheeETEirinaios TsiartasJSJason Sangha

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Overview

Review synthesizes AI-assisted OCT analysis for stent optimization in coronary artery disease, suggesting enhanced precision outcomes.

Key Points

  • The aim is to explore AI-assisted automated OCT analysis for optimizing stent placement during PCI.
  • Summarized principles of OCT in PCI and evidence for its guided optimization.
  • Discussed AI-driven automated analysis for identifying plaque types and guiding lesion preparation.
  • Explored emerging workflows for fully automated PCI optimization and clinical outcomes.
  • AI-driven OCT analysis can effectively classify plaque types such as fibrous, lipid-rich, and calcified lesions.
  • Tailored lesion preparation techniques showed potential for improved stent deployment outcomes.
  • Automated AI-enabled workflows promise enhanced reproducibility and workflow integration in PCI.

Cite This Study

Mohee et al. (2026) studied this question.

synapsesocial.com/papers/6a7d76aa2b0e0cff3f640368https://doi.org/10.17863/cam.133108
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