Validity and Reliability of an Artificial Intelligence-Based Posture Estimation Software for Measuring Cervical and Lower-Limb Alignment Versus Radiographic Imaging

Validity and Reliability of an Artificial Intelligence-Based Posture Estimation Software for Measuring Cervical and Lower-Limb Alignment Versus Radiographic Imaging

<b>Background/Objectives</b>: Accurate postural assessment is essential for managing musculoskeletal disorders; however, routine screening is often limited by radiation exposure, cost, and accessibility constraints of radiography. Recent advances in artificial intelligence (AI) have enab...

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Bibliographic Details
Main Authors: Sung Cheol Park, Sanghee Lee, Jisoo Yoon, Chi-Hyun Choi, Chan Yoon, Yong-Chan Ha
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Diagnostics
Subjects:
posture estimation
forward head posture
hip–knee–ankle angle
craniovertebral angle
sagittal vertical axis
posture analysis
Online Access:https://www.mdpi.com/2075-4418/15/11/1340
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