Deep Learning-Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation Study.

Jaehyeong Chun Youngjun Kim Kyoung Yoon Shin Sun Hyup Han Sei Yeul Oh Tae-Young Chung Kyung-Ah Park Dong Hui Lim

Published in: JMIR medical informatics (2020)

This study demonstrated the potential of precise smartphone-based prediction systems for refractive error using deep learning and further yielded a robust collection of pediatric photorefraction images.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
cataract surgery
optical coherence tomography
human health
young adults