NCT04416776

Validation of the Utility of Strabismus Intelligent Diagnostic System

Validation of the Utility of Strabismus Intelligent Diagnostic System: A Clinical Trial

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 323 (estimated)
• Sponsor: Sun Yat-sen University · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

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.

Conditions

• Ophthalmological Disorder
• Strabismus

Interventions

Type	Name	Description
DRUG	Strabismus diagnostic system.	An AI platform based on corneal light-reflection photos to facilitate the diagnosis and angle evaluation of strabismus and to provide advice for surgical planning.

Timeline

• Start date: 2019-09-01
• Primary completion: 2020-06-10
• Completion: 2020-06-10
• First posted: 2020-06-04
• Last updated: 2020-06-04

Locations

1 site across 1 country: China