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Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review

delete2026-08-12
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OA
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A
Amna Gillani *
R
Rüdiger von Eisenhart‐Rothe
K
Klaus Woertler
M
Michael T. Hirschmann
D
Daniel Rueckert
F
Florian Hinterwimmer
DOI:10.1002/ksa.70555delete
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Abstract

Abstract

En 中文
To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models for predicting knee osteoarthritis (KOA) progression from medical imaging.
Keywords:
deep learning
disease progression
knee osteoarthritis
medical imaging
prediction models
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Journal

Knee Surgery Sports Traumatology Arthroscopy cover
Knee Surgery Sports Traumatology Arthroscopy
IF:
5
Papers:
9.0K
Citations:
2.5W

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K
Kantonsspital Baselland
Scholars:
814
Papers: 663
Citations: 416
T
technical university of munich
Scholars:
6.1K
Papers: 2.5K
Citations: 1
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