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Clinical Trial Summary

The investigators aim to improve the diagnostic accuracy and the clinical referral rate for diabetic retinopathy by using a deep learning-based software.


Clinical Trial Description

Diabetic retinopathy (DR) is the leading cause of blindness among working-age patients with type 2 diabetes. According to previous studies, early screening and timely treatment can reduce the risk of worsening DR and blindness. International guidelines recommend that screening for DR be performed at least once every year for patients with type 2 diabetes. The investigators will implement a validated deep learning-based software, VeriSee®, in clinics, and evaluate the benefits on diagnostic accuracy and the clinical referral rate for diabetic retinopathy after implementation of this software. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04631653
Study type Interventional
Source Taichung Veterans General Hospital
Contact I-Te Lee, MD,PhD
Phone +886-4-23592525
Email itlee@vghtc.gov.tw
Status Not yet recruiting
Phase N/A
Start date December 1, 2020
Completion date December 31, 2023

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