Early prediction of Alzheimer’s disease using artificial intelligence and cortical features on T1WI sequences

Early prediction of Alzheimer’s disease using artificial intelligence and cortical features on T1WI sequences

BackgroundAccurately predicting the progression of mild cognitive impairment (MCI) to Alzheimer’s disease (AD) is a challenging task, which is crucial for helping develop personalized treatment plans to improve prognosis.PurposeTo develop new technology for the early prediction of AD using artificia...

Full description

Saved in:
Bibliographic Details
Main Authors: Rong Zeng, Beisheng Yang, Faqi Wu, Huan Liu, Xiaojia Wu, Lin Tang, Rao Song, Qingqing Zheng, Xia Wang, Dajing Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Neurology
Subjects:
Alzheimer’s disease
mild cognitive impairment
prediction
gray matter
network
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1552940/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items