Simulation-Based Training in Aortic Aneurysm Surgery: Toward a New Educational Standard.

Area of Science:

• Vascular Surgery Education
• Medical Simulation Technology
• Aortic Aneurysm Management

Background:

• Traditional vascular surgery training faces challenges due to declining open surgical cases and the rise of complex endovascular techniques for aortic aneurysms (AAs).
• Existing apprenticeship models are insufficient for mastering advanced AA interventions.

Purpose of the Study:

• To review current simulation technologies for vascular surgeon training in AA management.
• To assess the potential of simulation to enhance surgical education and patient safety.

Main Methods:

• Exploration of simulation technologies including computational modeling, fluid-structure interaction (FSI), patient-specific 3D printing, artificial intelligence (AI), and robotic platforms.
• Analysis of how these technologies create high-fidelity, anatomically accurate, and physiologically realistic training environments.

Main Results:

• Validated simulations improve surgical decision-making, device deployment, and complication management in a risk-free setting.
• Simulation technologies offer personalized, data-driven training opportunities.

Conclusions:

• Simulation-based training is a promising essential component for future vascular surgery curricula.
• Simulation has the potential to redefine competency development, improve surgical safety, and enhance efficacy in managing aortic aneurysms.