AI-based CT assessment of 3117 vertebrae reveals significant sex-specific vertebral height differences

AI-based CT assessment of 3117 vertebrae reveals significant sex-specific vertebral height differences

Abstract Predicting vertebral height is complex due to individual factors. AI-based medical imaging analysis offers new opportunities for vertebral assessment. Thereby, these novel methods may contribute to sex-adapted nomograms and vertebral height prediction models, aiding in diagnosing spinal con...

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Bibliographic Details
Main Authors: Viktoria Palm, Subasini Thangamani, Bettina Katalin Budai, Stephan Skornitzke, Kira Eckl, Elizabeth Tong, Sam Sedaghat, Claus Peter Heußel, Oyunbileg von Stackelberg, Sandy Engelhardt, Taisiya Kopytova, Tobias Norajitra, Klaus H. Maier-Hein, Hans-Ulrich Kauczor, Mark Oliver Wielpütz
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Spine
Sex characteristics
Image interpretation, computer-assisted
Anthropometry
Artificial intelligence
Image processing, computer-assisted
Online Access:https://doi.org/10.1038/s41598-025-05091-0
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https://doi.org/10.1038/s41598-025-05091-0

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