Comparing Artificial Intelligence for Assisted Diagnosis of Diabetic

Status Not yet recruiting

Clinical Trial Summary

Clinical Trial Description

This study plans to compare the accuracy of artificial intelligence (AI)-assisted fundus images with other ophthalmic devices such as optical coherence tomography (OCT) and fundus fluorescence angiography (FFA) in the diagnosis of diabetic retinopathy and diabetic macular edema. This study was conducted as a prospective study. Participants meeting eligibility criteria will be recruited from sites staffed by trained photographers. After assessing eligibility and obtaining informed consent, fundus photographs will be taken using a non-dilated fundus camera. And optical coherence tomography or fundus fluorescence angiography will be performed. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT06423274
Study type	Observational
Source	Zhejiang University
Contact	Hongkang Wu, MMS
Phone	+8618969978676
Email	wuhongkang@zju.edu.cn
Status	Not yet recruiting
Phase
Start date	May 10, 2024
Completion date	December 31, 2025

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Comparing Artificial Intelligence for Assisted Diagnosis of Diabetic Retinopathy

Clinical Trial Summary

Clinical Trial Description

Study Design

Related Conditions & MeSH terms