[Artificial intelligence in aortic dilatation diseases: current applications and future prospects].

Area of Science:

• Cardiovascular Medicine
• Medical Imaging
• Artificial Intelligence

Background:

• Aortic dilatation diseases, including aortic dissection and aneurysm, pose significant health risks.
• Effective management requires accurate diagnosis, precise treatment, and vigilant monitoring.
• Artificial intelligence (AI) is emerging as a transformative technology in healthcare.

Purpose of the Study:

• To review the current applications and impact of AI in the management of aortic dilatation diseases.
• To identify the key AI technologies driving advancements in this field.
• To outline the challenges and future directions for AI in aortic disease care.

Main Methods:

• Review of recent literature on AI applications in aortic dissection and aneurysm.
• Analysis of AI techniques including imaging analysis, data fusion, surgical assistance, and prognostic modeling.
• Synthesis of findings on AI's role in diagnosis, treatment, and postoperative management.

Main Results:

• AI has demonstrated significant progress in intelligent diagnosis, treatment decision support, and postoperative management of aortic diseases.
• AI technologies enhance early screening, personalize treatment, and improve long-term monitoring outcomes.
• Key AI applications involve advanced imaging analysis, multimodal data integration, and predictive modeling.

Conclusions:

• AI offers substantial potential to improve the clinical outcomes for patients with aortic dilatation diseases.
• Current AI models face limitations in interpretability, data standardization, and validation.
• Future progress necessitates data sharing, unified standards, and interdisciplinary collaboration for broader clinical adoption.