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Adherence to SVS Abdominal Aortic Aneurysm Guidelines Among Patients Detected by AI-Based Algorithm
Elena M Wilson1, Kaelan Yao1, Valentyna Kostiuk1
1Yale University School of Medicine, New Haven, CT.
Annals of Vascular Surgery
|May 11, 2025
Summary
Adherence to Society for Vascular Surgery (SVS) guidelines for abdominal aortic aneurysm (AAA) management remains moderate. Artificial intelligence may improve patient surveillance and outcomes.
Area of Science:
- Vascular Surgery
- Medical Imaging
- Artificial Intelligence
Background:
- Abdominal aortic aneurysm (AAA) management guidelines exist from the Society for Vascular Surgery (SVS).
- Evaluating adherence to these guidelines is crucial for patient outcomes.
- Current adherence levels for AAA surveillance and intervention require assessment.
Purpose of the Study:
- To evaluate adherence to the latest SVS guidelines for abdominal aortic aneurysm (AAA) management.
- To assess compliance with imaging surveillance, physician evaluation, and surgical intervention criteria.
- To explore the potential role of artificial intelligence in improving AAA patient care.
Main Methods:
- AI-based natural language processing applied to imaging scans of AAA patients (2019, 2021).
- Retrospective chart review for demographics, comorbidities, imaging, and follow-up adherence.
- Statistical analysis with significance set at P < 0.05.
Main Results:
- Imaging surveillance adherence was 67.7% in the cohort of 279 patients.
- Adherent females were significantly younger than nonadherent females (P = 0.003).
- Repair rates increased in 2021, but some interventions occurred below SVS thresholds.
Conclusions:
- Adherence to SVS guidelines for AAA management is moderate.
- AI-based tools show potential for enhancing AAA patient surveillance and outcomes.
- Further research is necessary to validate the impact of AI in AAA management.
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