Scientists develop an AI system to detect visual impairment in children

Guangzhou: Chinese scientists from Sun Yat-sen University and Shanghai Jiao Tong University have started using artificial intelligence (AI) technology to detect visual impairment among kids via smartphones.

The study published in the journal Nature Medicine described a smartphone-based health system, the Apollo Infant Sight (AIS).

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The AI-driven system is shown to identify visually impaired children with 16 eye disorders by recording and analysing their gazing behaviours and facial features.

According to the study, the AIS is designed to induce a steady gaze in children by using cartoon-like video stimuli and collecting videos that capture the facial appearance and ocular movement for further analysis using AI-based deep learning models.

Videos from 3,652 children under four years old have been prospectively collected to develop and validate this system.

The study shows that untrained parents or caregivers who use the system on their smartphones are able to achieve high-quality detection.

Visual impairment is one of the most important causes of long-term disability in children worldwide. Still, its early detection is frequently missed since kids are capable of only limited cooperation with standard vision tests.

About Shanghai Jiao Tong University

Shanghai Jiao Tong University is one of the famous institutions of higher learning with the longest history and reputation at home and abroad. It is a national key university directly under the Ministry of Education and jointly built with Shanghai Municipality. After 125 years of unremitting efforts, Shanghai Jiao Tong University has become a domestic first-class and internationally renowned university, and further defined the vision on constructing a “comprehensive, innovative and international” world-class university.

Chinese AI visual impairment