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Automatic Retinal Image Analysis Technology for Identifying Risk of Autism and Other Chronic Diseases

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Project Quick Facts

Principal Investigator

  • Prof. ZEE Chung Ying Benny

    The Jockey Club School of Public Health and Primary Care

  • Collaboration

    Hong Chi Association

  • Patent

    US, China and Taiwan patents filed

The Automatic Retinal Image Analysis (ARIA) technology is developed to assess the risk of autism spectrum disorder (Autism). Study results show that autism subjects have significantly larger optic disc diameter and larger optic cup diameter. The sensitivity and specificity of this technology to identify autism were 96% and 91% respectively.

The use of retinal image analysis is non-invasive, fully automatic and relatively convenient. Retinal images can be obtained from very young children to assess their risk of suffering from autism. This technique provides an objective screening method that can be implemented in a community setting and provides an efficient tool to assess the risk before clinical and behavioural assessment.

(From right) Ms Maria LAI, Assistant Director; Prof. Benny ZEE, Director of the Centre for Clinical Research and Biostatistics of the Jockey Club School of Public Health and Primary Care at CU Medicine; and Ms Sally CHIU, Educational Psychologist at Schools of Hong Chi Association, which is the partner of this research project.
Retinal images captured by the non-mydriatic fundus camera can reflect cardiovascular health and brain health.

Uniqueness and Competitive Advantages:

  • Fast evaluation in a few minutes
  • High sensitivity and specificity that reached 96% and 91%
  • Non-invasive, fully automatic and relatively convenient

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