Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study

Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study

Abstract Background Cardiac autonomic neuropathy (CAN) in diabetes mellitus (DM) is independently associated with cardiovascular (CV) events and CV death. Diagnosis of this complication of DM is time-consuming and not routinely performed in the clinical practice, in contrast to fundus retinal imagin...

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Main Authors: Katarzyna Nabrdalik, Krzysztof Irlik, Yanda Meng, Hanna Kwiendacz, Julia Piaśnik, Mirela Hendel, Paweł Ignacy, Justyna Kulpa, Kamil Kegler, Mikołaj Herba, Sylwia Boczek, Effendy Bin Hashim, Zhuangzhi Gao, Janusz Gumprecht, Yalin Zheng, Gregory Y. H. Lip, Uazman Alam
Format: Article
Language:English
Published: BMC 2024-08-01
Series:Cardiovascular Diabetology
Subjects:
Cardiac autonomic neuropathy
Artificial intelligence
Retinal imaging
Deep learning
Cardiovascular risk assessment
Online Access:https://doi.org/10.1186/s12933-024-02367-z

Internet

https://doi.org/10.1186/s12933-024-02367-z

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