Machine learning models for predicting tibial intramedullary nail length

Machine learning models for predicting tibial intramedullary nail length

Abstract Background Tibial intramedullary nailing (IMN) represents a standard treatment for fractures of the tibial shaft. Nevertheless, accurately predicting the appropriate nail length prior to surgery remains a challenging endeavour. Conventional techniques frequently depend on data obtained intr...

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Bibliographic Details
Main Authors: Sercan Capkin, Ali Ihsan Kilic, Hakan Cici, Mehmet Akdemir, Mert Kahraman Marasli
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Musculoskeletal Disorders
Subjects:
Tibial intramedullary nail
Machine learning
Anthropometric measurements
Preoperative planning
Linear regression
Online Access:https://doi.org/10.1186/s12891-025-08657-1
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https://doi.org/10.1186/s12891-025-08657-1

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