Applications of Haptic Technology, Virtual Reality, and Artificial Intelligence in Medical Training During the COVID-19 Pandemic

Author:

Motaharifar Mohammad,Norouzzadeh Alireza,Abdi Parisa,Iranfar Arash,Lotfi Faraz,Moshiri Behzad,Lashay Alireza,Mohammadi Seyed Farzad,Taghirad Hamid D.

Abstract

This paper examines how haptic technology, virtual reality, and artificial intelligence help to reduce the physical contact in medical training during the COVID-19 Pandemic. Notably, any mistake made by the trainees during the education process might lead to undesired complications for the patient. Therefore, training of the medical skills to the trainees have always been a challenging issue for the expert surgeons, and this is even more challenging in pandemics. The current method of surgery training needs the novice surgeons to attend some courses, watch some procedure, and conduct their initial operations under the direct supervision of an expert surgeon. Owing to the requirement of physical contact in this method of medical training, the involved people including the novice and expert surgeons confront a potential risk of infection to the virus. This survey paper reviews recent technological breakthroughs along with new areas in which assistive technologies might provide a viable solution to reduce the physical contact in the medical institutes during the COVID-19 pandemic and similar crises.

Funder

National Institute for Medical Research Development

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference86 articles.

1. A Multi-Camera, Multi-View System for Training and Skill Assessment for Robot-Assisted Surgery;Abdelaal;Int. J. CARS,2020

2. Robotic Ultrasound Scanning with Real-Time Image-Based Force Adjustment: Quick Response for Enabling Physical Distancing during the Covid-19 Pandemic;Akbari;Front. Robotics AI,2021

3. Towards Near Real-Time Assessment of Surgical Skills: A Comparison of Feature Extraction Techniques;Anh;Comput. Methods Programs Biomed.,2020

4. Deep Learning for Epileptic Intracranial Eeg Data;Antoniades,2016

5. Aras Haptics: A System for EYE Surgery Training2019

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3