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 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 Type
OBSERVATIONAL
Enrollment
1,000
using artificial intelligence to identify diabetic retinopathy using fundus photography
detect diabetic retinopathy and diabetic macular edema by optical coherence tomography
detect diabetic retinopathy by fundus fluorescence angiography
The Second Affiliated Hospital Zhejiang University School of Medicine
Hangzhou, Zhejiang, China
The accuracy
Detection of DR accuracy using fundus photography, optical coherence tomography, and fundus fluorescence angiography
Time frame: Baseline-Month 12
The accuracy
Detection of DME accuracy using fundus photography, optical coherence tomography, and fundus fluorescence angiography
Time frame: Baseline-Month 12
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.