Development of a model for measuring sagittal plane parameters in 10–18-year old adolescents with idiopathic scoliosis based on RTMpose deep learning technology

Development of a model for measuring sagittal plane parameters in 10–18-year old adolescents with idiopathic scoliosis based on RTMpose deep learning technology

Abstract Purpose The study aimed to develop a deep learning model for rapid, automated measurement of full-spine X-rays in adolescents with Adolescent Idiopathic Scoliosis (AIS). A significant challenge in this field is the time-consuming nature of manual measurements and the inter-individual variab...

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Bibliographic Details
Main Authors: Zhijie Kang, Guopeng Shi, Yong Zhu, Feng Li, Xiaohe Li, Haiyan Wang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Adolescent idiopathic scoliosis
RTMpose
Deep learning
Sagittal plane
Online Access:https://doi.org/10.1186/s13018-024-05334-2
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