数智化助力血管外科疾病诊治进展和未来研究方向OA

Digitalization and intelligence are reshaping vascular surgery towards data-and model-driven paradigms.In diagnostics,digitalization has expanded capabilities from static anatomical assessment to dynamic functional evaluation:artificial intelligence enables submillimeter precision in measuring and screening pathologies such as aortic aneurysms;when integrated with four-dimensional CT,MRI,and computational fluid dynamics,it allows quantitative analysis of hemodynamics;and emerging digital twin technology offers a virtual platform for functional validation and optimization of treatment plans before surgery.In therapeutics,robotic systems serve as key enabling technologies.Both vascular interventional and open surgery-assisted robots have demonstrated enhanced operational stability and precision in procedures involving lower limb arteries,abdominal aortic aneurysms,and vascular reconstructions.Furthermore,intraoperative navigation and augmented reality improve surgical efficiency and safety through real-time image fusion and direct visual mapping of vasculature.In medical education,virtual surgical simulations and AI-driven tutoring systems provide quantifiable,reproducible,and risk-free training environments,fundamentally transforming how vascular specialists are trained.Despite these advances,broader implementation faces challenges such as technical integration hurdles,high costs,data security concerns,and unresolved ethical and liability issues involving multiple stakeholders.Moving forward,deeper technological integration,improved accessibility,and the development of comprehensive ethical frameworks are required to realize a future of precision surgery guided by clinicians in seamless collaboration with intelligent systems.