Using deep learning to screen OCTA images for hypertension to reduce the risk of serious complications

• Published in: Frontiers in cell and developmental biology Vol. 13; p. 1581785
• Main Authors: Ding, Yiheng, Wei, Ziqiang, Wang, Chaoyun, Li, Xinyue, Li, Bingbing, Liu, Xueting, Fu, Zhijie, Mo, Hongwei, Zhang, Hong
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 09.07.2025
• Subjects: Cell and Developmental Biology; convolutional neural network; deep learning; hypertension; multi-Swin transformer; optical coherence tomography angiography; deep learning; hypertension; convolutional neural network; optical coherence tomography angiography; multi-Swin transformer

As a disease with high global incidence, hypertension is known to cause systemic vasculopathy. Ophthalmic vessels are the only vascular structures that can be directly observed in a non-invasive manner. We aim to investigate the changes in ocular microvessels in hypertension using deep learning on o...