Artificial intelligence in vascular surgery and vascular medicine

被引：2
作者：
Wolk, S. [1 ]
Kleemann, M. [2 ]
Reeps, C. [1 ]
机构：
[1] Tech Univ Dresden, Gefass & Endovaskulare Chirurg, Klin & Poliklin Visceral Thorax & Gefasschirurg, Univ Klinikum Carl Gustav Carus Dresden, Fetscherstr 74, D-01307 Dresden, Germany
[2] Univ Klinikum Schleswig Holstein, Gefass & Endovaskulare Chirurg, Klin Chirurg, Campus Lubeck, Lubeck, Germany
来源：
CHIRURG | 2020年 / 91卷 / 03期
关键词：
Digital transformation; Navigation in vascular surgery; Machine learning; Virtual reality; Digital health; ENDOVASCULAR ANEURYSM REPAIR; SIMULATION; PREDICTION; EVAR; NAVIGATION; MORTALITY; SYSTEMS; VESSEL;
D O I：
10.1007/s00104-020-01143-5
中图分类号：
R61 [外科手术学];
学科分类号：
摘要：
New digital technologies will also gain in importance in vascular surgery. There is a wide field of potential applications. Simulation-based training of endovascular procedures can lead to improvement in procedure-specific parameters and reduce fluoroscopy and procedural times. The use of intraoperative image-guided navigation and robotics also enables a reduction of the radiation dose. Artificial intelligence can be used for risk stratification and individualization of treatment approaches. Health apps can be used to improve the follow-up care of patients.
引用
收藏
页码：195 / 200
页数：6
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