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Artificial Intelligence for Computer-Aided Detection in Endovascular Interventions: Clinical Applications,
1INVAMED Medical Innovation Institute, One World Trade Center, 85th Floor, 285 Fulton Street, New York, NY 10007, USA.
Bioengineering (Basel, Switzerland)
|May 4, 2026
Summary
Artificial intelligence-based computer-aided detection (AI-CAD) systems show promise in endovascular interventions. Rigorous, feature-specific evaluation and transparent reporting are crucial for clinical readiness and responsible translation of these AI-CAD tools.
Area of Science:
- Medical Imaging Analysis
- Endovascular Interventions
- Artificial Intelligence in Healthcare
Background:
- AI-CAD systems are increasingly adopted in endovascular practice for detection, triage, and prioritization.
- Despite technological advances and regulatory approvals, consistent clinical benefit realization remains variable.
Purpose of the Study:
- To review AI-CAD applications in endovascular interventions.
- To propose a framework for evaluating and guiding responsible clinical translation of AI-CAD systems.
Main Methods:
- A structured narrative review of literature from PubMed, Google Scholar, and IEEE Xplore (2020-2026).
- Inclusion of US FDA device databases and citation tracking.
- Assessment using a pragmatic hierarchical classification framework based on regulatory status and validation rigor.
Main Results:
- AI-CAD applications identified in neurovascular, coronary, aortic (EVAR), and peripheral interventions.
- Performance reporting is heterogeneous, often based on retrospective, single-center studies.
- Barriers include data variability, limited multicenter validation, annotation inconsistencies, and human-AI workflow integration challenges.
Conclusions:
- AI-CAD systems offer substantial potential for enhancing endovascular care.
- Clinical readiness necessitates endovascular feature-specific assessment and transparent reporting beyond basic accuracy.
- A proposed framework and checklist can differentiate mature technologies from prototypes and guide implementation.
