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Related Experiment Video

Updated: Jul 19, 2025

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
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Fully automatic algorithm for detecting and tracking anatomical shoulder landmarks on fluoroscopy images with

Eleonora Croci1,2, Hanspeter Hess3, Fabian Warmuth4

  • 1Department of Biomedical Engineering, University of Basel, Basel, Switzerland. eleonora.croci@unibas.ch.

European Radiology
|August 11, 2023
PubMed
Summary

An artificial intelligence model accurately detects anatomical landmarks on fluoroscopic images, aiding in the assessment of shoulder instability and motion after rotator cuff tears.

Failed At:

2026-06-19T13:40:16.891259+00:00

Keywords:
Artificial intelligenceFluoroscopyMotionRotator cuff injuriesShoulder

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