Artificial intelligence in aortic disease: literature review

Area of Science:

• Cardiovascular Medicine
• Medical Informatics
• Biotechnology

Background:

• Aortic diseases pose significant public health risks, leading to high morbidity and mortality.
• Artificial Intelligence (AI) presents transformative potential in revolutionizing healthcare for aortic patients.

Purpose of the Study:

• To review and summarize the primary applications of AI in managing aortic diseases.
• To identify current trends, key findings, limitations, and future opportunities for AI in aortic aneurysm and dissection.

Main Methods:

• A scoping literature review was conducted.
• The review focused on identifying AI applications in aortic aneurysm and dissection.

Main Results:

• Key AI applications identified include detection, diagnosis, prognosis assessment, surgical repair assistance, virtual assistants, educational support, and vascular research tools.
• Current AI applications demonstrate proof-of-concept but face limitations in technical and ethical/legal frameworks.
• AI presents numerous opportunities for enhancing clinical practice, education, and research in aortic disease management.

Conclusions:

• AI tools offer substantial opportunities for improving aortic disease management across clinical practice, education, and research.
• Extensive validation and multicenter research are essential for the safe and effective implementation of AI in daily clinical practice.
• Establishing international guidelines is critical for the responsible development and deployment of AI in patient care.