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Prediction of preeclampsia from retinal fundus images via deep learning in singleton pregnancies: a prospective cohort study.
Journal of Hypertension ( IF 4.9 ) Pub Date : 2024-01-16 , DOI: 10.1097/hjh.0000000000003658
Tianfan Zhou 1 , Shengyi Gu 1 , Feixue Shao 1 , Ping Li 2 , Yuelin Wu 1 , Jianhao Xiong 3 , Bin Wang 3 , Chenchen Zhou 1 , Peng Gao 2 , Xiaolin Hua 1
Affiliation  

Early prediction of preeclampsia (PE) is of universal importance in controlling the disease process. Our study aimed to assess the feasibility of using retinal fundus images to predict PE via deep learning in singleton pregnancies.

中文翻译:

通过单胎妊娠深度学习从视网膜眼底图像预测先兆子痫:一项前瞻性队列研究。

先兆子痫(PE)的早期预测对于控制疾病进程具有普遍重要意义。我们的研究旨在评估通过深度学习使用视网膜眼底图像预测单胎妊娠 PE 的可行性。
更新日期:2024-01-16
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