AI-Assisted detection of corneal nerve structural abnormalities in early diabetic keratopathy: development and validation of a deep learning framework

Abstract To develop a deep learning–based computer-aided diagnostic model for the automated identification of corneal microneuromas from in vivo confocal microscopy (IVCM) images and to preliminarily assess its potential clinical utility in the context of diabetic corneal neuropathy. This retrospect...

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Главные авторы:	Jiali Pan, Xiaoshuo Shi, Longbiao Wan, Lan Ke, Yulin Yan, Jiewen Mao, Yuyu Cong, Zixian Yang, Juntao Fang, Yingli Wang, Chenhao Xu, Minghui Bao, Biqing Zheng, Ling Gao, Linying Huang, Yanning Yang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2026-01-01
Серии:	Scientific Reports
Предметы:	Deep learning In vivo confocal microscopy Diabetic corneal neuropathy Microneuromas
Online-ссылка:	https://doi.org/10.1038/s41598-026-36576-1
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