AUTOMATED OPPORTUNISTIC CT-SCREENING OF ABDOMINAL AORTIC ANEURYSMS USING ARTIFICIAL INTELLIGENCE: PROSPECTS AND CHALLENGES (LITERATURE REVIEW)

Highlights

• Non-contrast computed tomography (CT) scan is a promising modality for opportunistic screening of abdominal aortic aneurysm (AAA).
• Automation of opportunistic screening of AAA according to CT data is a promising use of artificial intelligence (AI) technologies.
• The development of AI algorithms for opportunistic screening of AAA based on CT data is currently limited due to the high labor costs in preparing datasets for AI training and testing.

Annotation

Abdominal aortic aneurysm is a cardiovascular disease characterized by a latent progression and adverse prognosis. Timely diagnosis reduces surgical risks and postoperative complications. Diagnostic imaging methods used to detect and evaluate this disease, particularly in targeted and opportunistic screening, are reviewed. The prospects of automation using artificial intelligence technologies for opportunistic screening are explored, moreover, they have already proven to be effective tools for optimizing radiology reports in several fields. This review highlights, however, relatively poor development of artificial intelligence algorithms for opportunistic screening of abdominal aortic aneurysms on native non-contrast abdominal CT studies. Possible reasons for this phenomenon and potential ways of development of this subject area are investigated.

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