Comparison of tibial alignment parameters based on clinically relevant anatomical landmarks <subtitle>a deep learning radiological analysis</subtitle>

Comparison of tibial alignment parameters based on clinically relevant anatomical landmarks <subtitle>a deep learning radiological analysis</subtitle>

AimsAccurate identification of the ankle joint centre is critical for estimating tibial coronal alignment in total knee arthroplasty (TKA). The purpose of the current study was to leverage artificial intelligence (AI) to determine the accuracy and effect of using different radiological anatomical la...

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Bibliographic Details
Main Authors: Seong J. Jang, Kyle N. Kunze, Zachary R. Brilliant, Melissa Henson, David J. Mayman, Seth A. Jerabek, Jonathan M. Vigdorchik, Peter K. Sculco
Format: Article
Language:English
Published: The British Editorial Society of Bone & Joint Surgery 2022-10-01
Series:Bone & Joint Open
Subjects:
Knee alignment
Artificial intelligence
Machine learning
Mechanical alignment
Tibial alignment
knees
Online Access:https://online.boneandjoint.org.uk/doi/10.1302/2633-1462.310.BJO-2022-0082.R1

Internet

https://online.boneandjoint.org.uk/doi/10.1302/2633-1462.310.BJO-2022-0082.R1

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