Clinical evaluation of deep learning systems for assisting in the diagnosis of the epiretinal membrane grade in general ophthalmologists.

Yan YanXiaoling HuangXiaoyu JiangZhiyuan GaoXindi LiuKai JinJuan Ye

Published in: Eye (London, England) (2023)

Through our comparative experiment, the AI systems proved to be valuable references for medical diagnosis and demonstrated the potential to accelerate clinical workflows. Systematic efforts are needed to ensure the safe and rapid integration of AI systems into ophthalmic practice.

Keyphrases

clinical evaluation
deep learning
artificial intelligence
healthcare
primary care
quality improvement
machine learning
risk assessment
human health
convolutional neural network
climate change