Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy.

Gabriel Lennart KellerKatarzyna RachunekFabian SpringerMathias Kraus

Published in: La Radiologia medica (2023)

A DL algorithm like this might become a valuable tool supporting clinicians' initial decision making on radiography regarding SL integrity and consequential triage for further patient management.

Keyphrases

deep learning
decision making
machine learning
artificial intelligence
convolutional neural network
image quality
emergency department
cone beam computed tomography
case report
palliative care
computed tomography
magnetic resonance
high throughput