Deep learning for medical image synthesis: Improving AI-based knee osteoarthritis diagnosis

Objectives and questions: Deep learning (DL) is increasingly used in medical diagnosis and prognosis. However, medical datasets often suffer from class imbalance and limited availability due to privacy concerns, regulatory constraints, data heterogeneity, annotation challenges, bias, and legal risks, [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-10-31
DOI
https://doi.org/10.3205/25dkou519
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep learning for medical image synthesis: Improving AI-based knee osteoarthritis diagnosis

German Medical Science (German Research Foundation)
Artificial Intelligence in Healthcare and Education
article

Deep learning for medical image synthesis: Improving AI-based knee osteoarthritis diagnosis

article en

Abstract

Objectives and questions: Deep learning (DL) is increasingly used in medical diagnosis and prognosis. However, medical datasets often suffer from class imbalance and limited availability due to privacy concerns, regulatory constraints, data heterogeneity, annotation challenges, bias, and legal risks, [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
TUM Klinikum (DE), Technical University of Munich (DE)
Openalex Percentile: Top 50%
Artificial Intelligence in Healthcare and Education
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Deep learning for medical image synthesis: Improving AI-based knee osteoarthritis diagnosis · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS