Diagnostic performance of deep learning-assisted [18F]FDG PET imaging for Alzheimer's disease: a systematic review and meta-analysis.

Purpose: This study aims to calculate the diagnostic performance of deep learning (DL)-assisted 18F-fluorodeoxyglucose ([18F]FDG) PET imaging in Alzheimer's disease (AD). Methods: The Ovid MEDLINE, Ovid Embase, Web of Science Core Collection, Cochrane, and IEEE Xplore databases were searched for rel...

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Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 52; no. 10; pp. 3600 - 3613
Main Authors:	Sun, Yuan, Chen, Yuhan, Dong, La, Hu, Daoyan, Zhang, Xiaohui, Jin, Chentao, Zhou, Rui, Zhang, Jucheng, Dou, Xiaofeng, Wang, Jing, Xue, Le, Xiao, Meiling, Zhong, Yan, Tian, Mei, Zhang, Hong
Format:	Journal Article
Published:	Springer Nature Aug2025
Online Access:	View this record in EBSCOhost