Artificial Intelligence Helps to Detect Eye Disorders in Children

Research studies have shown a combination of artificial intelligence (AI) and a detection model using AI have displayed a strong performance for early and accurate detection of pediatric eye disorders.

This is a new mobile health (mHealth) system that uses a smartphone-based Apollo Infant Sight (AIS) to identify visually impaired children.

A recent study published in the journal JAMA Ophthalmology found that a combination of AI and a detection model using AI was able to accurately detect eye disorders in children with a high degree of sensitivity and specificity.

The study included over 1,000 children with a variety of eye disorders, including refractive errors, strabismus, and amblyopia. The AI-based detection model was able to correctly identify 95% of the children with eye disorders, and it was also able to rule out eye disorders in 98% of the children who did not have them.

The findings of this study suggest that AI-based detection models could be used to help screen for eye disorders in children, which could lead to earlier diagnosis and treatment.

Urban Optiks Optometry

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