Standard knee radiographs enable deep learning inference of MRI-defined cartilage and meniscal damage in early knee osteoarthritis: a study using the osteoarthritis initiative database

BackgroundTo develop and validate a radiograph-only deep learning framework that jointly predicts magnetic resonance imaging (MRI)-defined early structural pathology in knees with early radiographic osteoarthritis (Kellgren-Lawrence [KL] grades 0-1) and performs full-spectrum KL classification acros...

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Bibliografische gegevens

Hoofdauteurs:	Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Hao Liao, Yan Liao, Zhilin Zhang, Hang Fang, Weidong Chen, Dongfeng Wu, Rongkai Zhang
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Frontiers Media S.A. 2026-06-01
Reeks:	Frontiers in Physiology
Onderwerpen:	cartilage damage deep learning knee osteoarthritis meniscal damage radiography
Online toegang:	https://www.frontiersin.org/articles/10.3389/fphys.2026.1858407/full
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