Deep-Learning–Based Pre-Diagnosis Assessment Module for Retinal Photographs: A Multicenter Study

• Published in: Translational vision science & technology Vol. 10; no. 11; p. 16
• Main Authors: Yuen, Vincent, Ran, Anran, Shi, Jian, Sham, Kaiser, Yang, Dawei, Chan, Victor T. T., Chan, Raymond, Yam, Jason C., Tham, Clement C., McKay, Gareth J., Williams, Michael A., Schmetterer, Leopold, Cheng, Ching-Yu, Mok, Vincent, Chen, Christopher L., Wong, Tien Y., Cheung, Carol Y.
• Format: Journal Article
• Language: English
• Published: United States The Association for Research in Vision and Ophthalmology 01.09.2021
• Subjects: Algorithms; Area Under Curve; Artificial Intelligence; Deep Learning; Humans; Photography

Artificial intelligence (AI) deep learning (DL) has been shown to have significant potential for eye disease detection and screening on retinal photographs in different clinical settings, particular in primary care. However, an automated pre-diagnosis image assessment is essential to streamline the...