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A mobile app for Glaucoma diagnosis and its possible clinical applications
Fan Guo1, Weiqing Li2, Xin Zhao2
1School of Automation, Central South University, Changsha, China. guofancsu@163.com.
BMC Medical Informatics and Decision Making
|July 11, 2020
Summary
A new mobile app, Yanbao, aids in glaucoma diagnosis using smartphone retinal images. It achieved 77.31% overall accuracy, demonstrating potential for improved patient care and clinician efficiency.
Area of Science:
- Ophthalmology
- Medical Technology
- Mobile Health
Background:
- Technological advancements offer innovative solutions for disease diagnosis.
- A mobile application was developed to assist patients with glaucoma detection.
Purpose of the Study:
- To develop and evaluate a user-friendly mobile application for glaucoma diagnosis.
- To assess the accuracy and usability of the Yanbao app in classifying glaucoma from retinal images.
Main Methods:
- A mobile application was designed for convenient smartphone use.
- Experiments were conducted using public retinal image databases and real clinical data.
- User feedback was collected on performance and experience.
Main Results:
- The Yanbao app achieved a total accuracy of 0.7731 in classifying glaucoma from 648 retinal images of 274 patients.
- Sensitivity was 0.7860 for glaucoma patients and specificity was 0.7654 for non-glaucoma patients.
- Performance was comparable to established public datasets like ORIGA and DRISHTI-GS1.
Conclusions:
- The Yanbao app represents an innovative mobile technology for glaucoma diagnosis.
- It can enhance clinician efficiency, balance medical resources, and improve tiered medical services.
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