Development of a deep learning algorithm for radiographic detection of syndesmotic instability in ankle fractures with intraoperative validation
Abstract Identifying syndesmotic instability in ankle fractures using conventional radiographs is still a major challenge. In this study we trained a convolutional neural network (CNN) to classify the fracture utilizing the AO-classification (AO-44 A/B/C) and to simultaneously detect syndesmosis ins...
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| Huvudupphov: | , , , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Nature Portfolio
2025-08-01
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| Serie: | Scientific Reports |
| Länkar: | https://doi.org/10.1038/s41598-025-14604-w |
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