Researchers develop a new smartphone-based tool to detect visual impairment in young children natureportfolio sysu_1924 Vision VisualImpairment Children SmartphoneTechnology
By Neha MathurJan 30 2023Reviewed by Aimee Molineux In a recent study published in Nature Medicine, researchers conducted a prospective, multicenter, observational study between 14 January 2020 and 30 January 2022 in China.
Background Young children, especially infants, are incapable of undergoing standard vision tests, making it challenging to detect visual impairment in them at an early stage, if any. Though capturing some of their facial and eye movements could help ophthalmic practice, applying these in real-world settings is also challenging.
About the study In the present study, researchers developed AIS to identify 16 causes of childhood visual impairment in infants in real-world settings. They collected over 25,000,000 video frames from 3,652 children using AIS for DL model training and testing. Finally, the researchers validated this system under varying test noise levels and ambient interference in the real world.
One of the advantages of AIS was its applicability to multiple systemic and genetic ocular diseases, including ocular neoplasms and developmental abnormalities. It also detected mildly impaired children with relatively subtle phenotypic features, which are easy to miss, with high precision, further demonstrating its broader applicability.
Conclusions The mHealth system-based AIS demonstrated remarkable potential to be used by healthcare personnel and parents for identifying young children with a wide range of ophthalmic disorders. It showed good precision across both clinical and community settings.
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