With cybersecurity guaranteed, a novel augmented-reality-driven medical simulation platform was designed for percutaneous renal access, which can overcome the limitations of conventional bench simulators and existing augmented reality models. This article presents a new framework design and establishes validations for the simulator for percutaneous nephrolithotomy (SimPCNL) assessment with the consideration of cybersecurity in the implementation. In particular, the new cybersecurity awareness design includes code security and hardware security. SimPCNL is mainly composed of a personal computer and two PHANTOM Omni (three-dimensional haptic device) with one stylus that mimics the percutaneous needle. A database storing clinical fluoroscopic images of percutaneous nephrolithotomy and a reproduced visual-haptic environment mimicking actual surgical performance consist of the training interface. In total, 54 professors comprising 36 medical students and 18 urologists were employed to evaluate the simulator we designed, which performed in the surgical department of Yunnan First People's Hospital. Objective metrics and Global Rating Scale questionnaire are used to record the face and content validities, skills improvement validity, construct validity, and criterion validity. The median appraisal value of the face and content was 4 (1-5) by 18 urologists. Professors' results demonstrated extremely better than medical students' in total evaluation results. After a training group of medical students, SimPCNL showed a better result than the commercial training framework, especially for the quantitative feedbacks group. SimPCNL Global Rating Scale scores and objective assessment demonstrated a better result than PERC Mentor in percutaneous renal access surgical training. Training percutaneous renal access on SimPCNL is reliable and versatile through the face, content, improvement construct, and criterion validations. Furthermore, we also consider cybersecurity when implementing our novel platform.
基金:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61650401]; National Science Foundation of Yunnan Province, China of Yunnan Key Laboratory of Opto-electronic Information Technology, Kunming, China [ZD2014004]
语种:
外文
被引次数:
WOS:
中科院(CAS)分区:
出版当年[2019]版:
大类|4 区工程技术
小类|4 区计算机:信息系统4 区电信学
最新[2023]版:
大类|4 区计算机科学
小类|4 区计算机:信息系统4 区电信学
JCR分区:
出版当年[2018]版:
Q3COMPUTER SCIENCE, INFORMATION SYSTEMSQ3TELECOMMUNICATIONS
最新[2023]版:
Q3COMPUTER SCIENCE, INFORMATION SYSTEMSQ3TELECOMMUNICATIONS
第一作者机构:[1]Yunnan Normal Univ, Yunnan Key Lab Optoelect Informat Technol, Kunming 650500, Yunnan, Peoples R China[2]Deakin Univ, Inst Intelligent Syst Res & Innovat, Geelong, Vic, Australia
通讯作者:
通讯机构:[1]Yunnan Normal Univ, Yunnan Key Lab Optoelect Informat Technol, Kunming 650500, Yunnan, Peoples R China[*1]Jun Zhang, Yunnan Key Laboratory of Opto-electronic Information Technology, Yunnan Normal University, Kunming 650500, China.[*2]Yunnan Key Laboratory of Opto-electronic Information Technology, Yunnan Normal University, Kunming 650500, China.
推荐引用方式(GB/T 7714):
Tai Yonghang,Wei Lei,Zhou Hailing,et al.Augmented-reality-driven medical simulation platform for percutaneous nephrolithotomy with cybersecurity awareness[J].INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS.2019,15(4):doi:10.1177/1550147719840173.
APA:
Tai, Yonghang,Wei, Lei,Zhou, Hailing,Peng, Jun,Li, Qiong...&Shi, Junsheng.(2019).Augmented-reality-driven medical simulation platform for percutaneous nephrolithotomy with cybersecurity awareness.INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,15,(4)
MLA:
Tai, Yonghang,et al."Augmented-reality-driven medical simulation platform for percutaneous nephrolithotomy with cybersecurity awareness".INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 15..4(2019)