Key result
Endovascular and hybrid advances alongside AI shift aortic disease management toward precise, less invasive approaches.
Why the study?
Aortic disease remains a major contributor to cardiovascular morbidity and mortality worldwide.
Recent advances in endovascular techniques and artificial intelligence are driving a shift toward more precise, less invasive, and data-driven management of aortic disease.
Aortic disease remains a major contributor to cardiovascular morbidity and mortality worldwide. Advances in the understanding of its epidemiology, pathophysiology, and anatomical classification have strengthened the clinical foundation for risk assessment and therapeutic decision-making. The evolution of endovascular and hybrid surgical strategies has expanded treatment options for complex aortic pathology involving the ascending aorta, arch, and root, while improving the feasibility and safety of minimally invasive interventions. At the same time, artificial intelligence is being integrated into aortic care through the applications in diagnostic support, imaging analysis, and outcome prediction. Collectively, these developments signal a shift toward more precise, less invasive, and increasingly data-driven approaches in the management of aortic disease.
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F. et al. (2025) conducted a review in Aortic disease. Endovascular and hybrid surgical strategies, artificial intelligence was evaluated. Recent advances in endovascular and hybrid surgical strategies, along with artificial intelligence integration, are shifting aortic disease management toward more precise and less invasive approaches.
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