Automated Non-Supervised Eye Disorder Screening System Using Virtual Reality

IF 2.3 3区医学 Q2 SURGERY International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2024-11-29 DOI:10.1002/rcs.70012

Lijing Chen, Yinan Miao, Hyeonwoo Nam, Hwan Heo, Sang Woo Park, Gyuhae Park

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Abstract

Background

Neglecting eye disorders can lead to visual impairment or even vision loss, making early diagnosis and medical treatment crucial. This paper presents the development of an automated non-supervised eye disorder screening system that utilises Virtual Reality (VR) to provide a preliminary screening for common eye disorders.

Methods

The system integrates advanced pupil-tracking techniques, image-processing methods, and eye disorder screening algorithms into one package for comprehensive eye disorder monitoring, including a strabismus test, a pupil test, and a contrast sensitivity test. Patients can wear a VR headset and use a joystick to interact with the VR scenario.

Results

The system is validated through experiments conducted on both healthy subjects and patients in hospitals, demonstrating an agreement rate exceeding 90% when compared to diagnoses by doctors.

Conclusions

The test results highlight its potential for real-world applications, ultimately improving the accessibility of early screening for eye disorders and remote healthcare.

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使用虚拟现实的自动无监督眼障碍筛查系统。

背景：忽视眼部疾病可能导致视力损害甚至视力丧失，因此早期诊断和药物治疗至关重要。本文介绍了一种自动无监督眼病筛查系统的开发，该系统利用虚拟现实（VR）为常见的眼病提供初步筛查。方法：该系统将先进的瞳孔跟踪技术、图像处理方法和眼部疾病筛查算法集成为一个包，用于全面的眼部疾病监测，包括斜视测试、瞳孔测试和对比敏感度测试。患者可以戴上VR耳机，使用操纵杆与VR场景进行交互。结果：该系统通过健康受试者和医院患者的实验验证，与医生诊断的符合率超过90%。结论：测试结果突出了其在现实世界应用的潜力，最终提高了眼部疾病早期筛查和远程医疗的可及性。

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

CiteScore

4.50

自引率

12.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.