Application of artificial intelligence in surgery

被引：104

作者：

Zhou, Xiao-Yun ^{[1
]}

Guo, Yao ^{[1
]}

Shen, Mali ^{[1
]}

Yang, Guang-Zhong ^{[2
]}

机构：

[1] Imperial Coll London, Hamlyn Ctr Robot Surg, London SW7 2AZ, England

[2] Shanghai Jiao Tong Univ, Inst Med Robot, Shanghai 200240, Peoples R China

来源：

FRONTIERS OF MEDICINE | 2020年 / 14卷 / 04期

关键词：

artificial intelligence; surgical autonomy; medical robotics; deep learning; AUGMENTED REALITY NAVIGATION; MINIMALLY INVASIVE SURGERY; ASSISTED SURGERY; TRAJECTORY SEGMENTATION; GESTURE SEGMENTATION; NEURAL-NETWORKS; POSE ESTIMATION; ROBOT; TIME; TRACKING;

D O I：

10.1007/s11684-020-0770-0

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Artificial intelligence (AI) is gradually changing the practice of surgery with technological advancements in imaging, navigation, and robotic intervention. In this article, we review the recent successful and influential applications of AI in surgery from preoperative planning and intraoperative guidance to its integration into surgical robots. We conclude this review by summarizing the current state, emerging trends, and major challenges in the future development of AI in surgery.

引用

页码：417 / 430

页数：14

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