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Machine learning models for predicting tibial intramedullary nail length
1
Zitationen
5
Autoren
2025
Jahr
Abstract
Combining anthropometric measurements with ML models, particularly linear regression, effectively predicts IMN length. This approach can streamline preoperative planning by reducing intraoperative measurements and minimizing surgery time and radiation exposure. Further validation with larger datasets is necessary to confirm these findings across diverse populations.
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