Screening cognitive impairment in patients with atrial fibrillation: A deep learning model based on retinal fundus photographs

Screening cognitive impairment in patients with atrial fibrillation: A deep learning model based on retinal fundus photographs

Background: Patients with atrial fibrillation (AF) have a higher risk of cognitive impairment (CI). However, complexity of CI diagnosis and lack of simple screening approaches limited early screening and intervention of CI in AF patients. Objective: Our study aimed to develop deep learning models ba...

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Main Authors: Zhen Wang, MD, Mingxiao Li, MD, Peng Xia, BS, Chao Jiang, MD, Ting Shen, MD, Jiaming Ma, MD, Yu Bai, MD, Suhui Zhang, MD, Yiwei Lai, MD, Sitong Li, MS, Hui Xu, MD, Yang Xu, MD, Tong Ma, MS, Lie Ju, PhD, Liu He, PhD, Li Dong, MD, Caihua Sang, MD, Deyong Long, MD, Yuzhong Chen, PhD, Xin Du, MD, Zongyuan Ge, PhD, Jianzeng Dong, MD, Wen-Bin Wei, MD, Changsheng Ma, MD
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Heart Rhythm O2
Subjects:
Cognitive impairment
Atrial fibrillation
Artificial intelligence
Fundus photography
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666501825000455
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