Development and clinical evaluation of intelligent vision examination and management system based on mobile terminal

Objective

To develop an intelligent vision examination and management system based on mobile terminal, and evaluate its practical application.

Methods

A diagnostic test study was adopted.Fifty children and adolescents (100 eyes) aged from 3 to 14 years, with an average age of (8.16±4.58) years, were enrolled in Zhongshan Ophthalmic Center from March to May, 2020.An intelligent vision examination and management system for Android and IOS devices, which applied technologies of real-time range measurement, speech recognition, and gesture recognition to achieve the real-time interaction in the vision examination, was developed using JAVA language and xcode11.The uncorrected visual acuity of subjects was tested with the intelligent vision system and the standard eye chart in hospital.The difference in the number of cooperative eyes between the two methods was analyzed by χ² test.The LogMAR acuity of the two methods were compared by Wilcoxon rank sum test and the consistency between the two methods was analyzed by Kappa test.The study adhered to the Declaration of Helsinki, and the study protocol was approved by an Ethics Committee of Zhongshan Ophthalmic Center (No.2020KYPJ095). Written informed consent was obtained from guardians of each subject prior to any examination.

Results

The intelligent vision examination and management system was successfully developed for Android and IOS devices, which was loaded with precise vision examination at 3 meters, intelligent interaction, result output and automatic filing functionalities.The inspection range of visual acuity was from 0.1 to 1.5.The size and resolution of eye chart met the national standard.There was no significant difference in the number of cooperative eyes during examination between traditional eye chart (99/100) and intelligent vision examination system (98/100) (χ²=0.338, P=0.561). There was no significant difference in examination results between traditional eye chart 0.3 (0.2, 0.5) LogMAR and intelligent vision examination system 0.3 (0.2, 0.5) LogMAR (Z=-1.602, P=0.109), and there was a high consistency between the two methods (Kappa coefficient=0.885).

Conclusions

The intelligent vision examination and management system based on the mobile terminal is of high accuracy and practicability, which can effectively meet the public demand for at-home vision testing and long-term tracking.The system can be promoted and applied as a new mode for personalized eye health management.

Eye health management; Visual acuity; Mobile terminal; Intelligent system