Deep learning bone tumor entity classification model collapses under real-world distribution shifts

Objectives and questions: Artificial intelligence (AI) models have demonstrated significant potential in classifying bone tumors. However, their clinical adoption remains limited due to poor generalizability across different healthcare centers. This study aims to assess the impact of training AI models [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/10.3205/25dkou245
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep learning bone tumor entity classification model collapses under real-world distribution shifts

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

Deep learning bone tumor entity classification model collapses under real-world distribution shifts

article en

Abstract

Objectives and questions: Artificial intelligence (AI) models have demonstrated significant potential in classifying bone tumors. However, their clinical adoption remains limited due to poor generalizability across different healthcare centers. This study aims to assess the impact of training AI models [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
TUM Klinikum (DE), Technical University of Munich (DE)
No poverty
Openalex Percentile: Top 50%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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Deep learning bone tumor entity classification model collapses under real-world distribution shifts · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS