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Related Experiment Video

Updated: Jul 12, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Artificial Intelligence in Vascular Surgery: Translating Innovation into Clinical Practice: A Narrative Review.

Antonio Bozzani1, Alessandro Venturi2,3

  • 1From the Vascular Surgery, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Cardiology in Review
|July 9, 2026
PubMed
Summary

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Artificial intelligence (AI) shows great promise in vascular surgery for diagnosis, risk prediction, and surgical guidance. However, challenges in data, validation, and integration must be addressed for successful clinical adoption.

Area of Science:

  • Vascular Surgery
  • Medical Artificial Intelligence
  • Machine Learning in Medicine

Background:

  • Artificial intelligence (AI) is transforming medicine, with growing applications in vascular surgery.
  • Despite research, real-world clinical implementation of AI in vascular surgery is limited.

Purpose of the Study:

  • To review current evidence on AI applications in vascular surgery.
  • To identify limitations and future directions for AI integration in clinical practice.

Main Methods:

  • Narrative review of recent evidence from PubMed, Scopus, and Web of Science.
  • Focus on clinically relevant machine learning and deep learning applications.

Main Results:

  • AI demonstrates high accuracy in diagnostic imaging (e.g., aneurysm detection, carotid plaque grading).
Keywords:
artificial intelligencepredictive modelvascular surgery

Related Experiment Videos

Last Updated: Jul 12, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

  • Predictive analytics show promise for risk stratification and outcome prediction.
  • Emerging intraoperative (AR, robotics) and postoperative (complication detection) AI tools show potential.

    • Conclusions:

    • AI can significantly enhance surgical accuracy, efficiency, and patient outcomes in vascular surgery.
    • Barriers include data heterogeneity, validation, transparency, ethics, and workflow integration.
    • Future progress requires prospective validation, transparent development, and clinician-centered strategies.