Validation of the Utility of Strabismus Intelligent Diagnostic System

Status Recruiting

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

Clinical Trial Details

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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