Training in robotic pancreatic surgery

被引:1
作者
Body, Sam [1 ]
Kawka, Michal [2 ]
Gall, Tamara M. H. [3 ,4 ]
机构
[1] Royal Bournemouth Hosp, Bournemouth BH7 7DW, England
[2] Imperial Coll, Sch Med, London W12 0HS, England
[3] Royal North Shore Hosp, Dept Surg, Reserve Rd, Sydney, NSW 2065, Australia
[4] Imperial Coll, Dept Surg & Canc, London W12 0HS, England
来源
ARTIFICIAL INTELLIGENCE SURGERY | 2022年 / 2卷 / 04期
关键词
Pancreatic; surgery; robotics; machine learning; LAPAROSCOPIC GASTRECTOMY; WORKFLOW RECOGNITION; COMPUTER VISION; PANCREATICODUODENECTOMY; CONSENSUS; RESECTIONS; EXPERIENCE; CANCER;
D O I
10.20517/ais.2022.28
中图分类号
R61 [外科手术学];
学科分类号
摘要
The aim of this narrative review is to discuss current training for the robotic approach to pancreatic surgery and the potential use of machine learning to progress robotic surgical training. A literature search using PubMed and MEDLINE was conducted to investigate training programmes in robotic pancreatic surgery and advances in the use of artificial intelligence for training. The use of virtual reality can assist novice robotic surgeons in learning basic surgical skills. The use of automated video analytics can also improve surgical education to enable self-directed learning both within and outside the operating room. The emerging role and novel applications of machine learning in robotic surgery could shape future training by aiding the autonomous recognition of anatomical structures in the surgical field, instrument tracking and providing feedback on surgical competence. Training should be standardised to ensure the attainment of assessment benchmarks and include virtual simulation basic training in addition to procedural-specific training. Standardised procedural techniques should be used to improve patient safety, theatre efficiency and the continuation of robotic practice.
引用
收藏
页码:186 / 194
页数:9
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