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Artificial Intelligence System for Assessing Image Quality of Fundus Images and Its Effects on Diagnosis

Artificial Intelligence Clinical Trial

Official title:
Artificial Intelligence System for Assessing Image Quality of Fundus Images and Its Effects on Diagnosis: A Clinical Trial

Clinical Trial Summary

Fundus images are widely used in ophthalmology for the detection of diabetic retinopathy, glaucoma and other diseases. In real-world practice, the quality of fundus images can be unacceptable, which can undermine diagnostic accuracy and efficiency. Here, the researchers established and validated an artificial intelligence system to achieve automatic quality assessment of fundus images upon capture. This system can also provide guidance to photographers according to the reasons for low quality.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04289064
Study type Observational
Source Sun Yat-sen University
Contact
Status Active, not recruiting
Phase
Start date February 1, 2020
Completion date July 1, 2020
View Details
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