Innovative utilization of ultra-wide-field fundus images and deep-learning algorithms for screening high-risk posterior polar cataract.

Elsa Lin-Chin Mai Bing-Hong Chen Tai-Yuan Su

Published in: Journal of cataract and refractive surgery (2024)

This study established a significant relationship between PPC and the projected shadow, enabling surgeons to identify potential PPC risks preoperatively and reduce the incidence of posterior capsular rupture during cataract surgery.

Keyphrases

deep learning
cataract surgery
convolutional neural network
machine learning
artificial intelligence
human health
high resolution
risk factors
climate change
quality improvement
optical coherence tomography
mass spectrometry