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Clinical Trial Summary

Strabismus affects approximately 0.8%-6.8% of the world's population and appears by the age of 3 years in 65% of affected individuals. Manual measurement of deviation is often laborious and highly dependent on the experience of the specialist and the cooperation of the patients. Current strabismus evaluation technologies are heavily dependent on model eyes. Here, the investigators use deep learning to develop an artificial intelligence (AI) platform consisting of three deep learning (DL) systems to screen strabismus, evaluate deviation and propose a surgical plan based on corneal light-reflection photos. The investigator also conduct clinical trial to validate its versatility in clinical practice.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT04416776
Study type Observational
Source Sun Yat-sen University
Contact Keli Mao, M.D
Phone 87330493
Email maokl@mail2.sysu.edu.cn
Status Recruiting
Phase
Start date September 1, 2019
Completion date June 10, 2020

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