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Updated: May 28, 2025

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

Deep learning based screening model for hip diseases on plain radiographs.

Jung-Wee Park^1,2, Seung Min Ryu³, Hong-Seok Kim^1,4

¹Department of Orthopaedic Surgery, Seoul National University College of Medicine, Seoul, South Korea.

|February 13, 2025

Summary

A new deep learning model accurately screens hip diseases from plain radiographs. This AI tool shows high reliability, potentially improving diagnostic accuracy for physicians.

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Imaging of the Microstructural Failure Mechanism in the Human Hip

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Published on: September 29, 2023

Area of Science:

Radiology
Artificial Intelligence
Medical Imaging

Background:

Interpretation of hip radiographs varies among physicians.
Developing reliable screening tools for hip diseases is crucial.

Purpose of the Study:

To develop and validate a deep learning model for distinguishing normal hips from severe hip diseases using plain radiographs.

Main Methods:

Utilized 1,726 hip radiographs (500 normal, 1,226 hip disease) from 2004-2012.
Trained and tested four deep learning models, including variations in image preprocessing and backbone algorithms (DenseNet to EfficientNet).
Evaluated models based on accuracy, sensitivity, specificity, PPV, NPV, F1-score, and AUROC.

Main Results:

The final model achieved high performance: accuracy 0.96, sensitivity 0.96, specificity 0.97, and AUROC 0.99 on the internal test set.
External validation demonstrated strong results: accuracy 0.94, sensitivity 0.93, specificity 0.96, and AUROC 0.98.
GradCAM analysis showed improved focus on relevant anatomical structures in refined models.

Conclusions:

Deep learning models demonstrate high accuracy and reliability in screening hip diseases from plain radiographs.
This AI-driven approach can assist physicians in more accurate hip condition diagnosis.