Artificial intelligence in aortic disease: literature review

Abstract

Aortic diseases represent major public health concern and are associated with high rates of morbidity and mortality. Artificial Intelligence (AI) has the potential to revolutionize healthcare, with various potential applications for aortic patients. The aim of this review is to summarize the main applications of AI in aortic diseases, highlighting current trends, key findings and discussing current limitations and future opportunities. A scoping literature review was performed to identify the main applications of AI in aortic aneurysm and dissection. The main applications included detection and diagnosis, prognosis assessment, assistance for aortic repair, development of virtual assistants and support for education, and new tools for vascular research. Current results highlighted several limitations related to technical considerations as well as challenges in link with ethic and legal framework. AI offers a wide range of opportunities for the management of aortic diseases including new tools for clinical practice, education and research. While current applications showed a proof-of-concept, further efforts of validation are required for implementation in daily clinical practice. International multicenter research will play a major role to develop, validate, follow and establish guidelines to ensure a safe and efficient use of AI-tools to improve patients care.

Ähnliche Arbeiten