A novel deep learning approach for predicting stone-free rates post-ESWL on uncontrasted CT

Extracorporeal shock wave lithotripsy (ESWL) is one of the most often employed therapy methods for managing kidney stones. In our work, we sought to assess the efficacy of the artificial intelligence model developed using non-contrast computed tomography (CT) images in predicting stone-free rates fo...

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Bibliographic Details

Published in:	PeerJ Computer Science
Main Authors:	Ozgur Efiloglu, Muhammed Yildirim, Kadir Yildirim, Harun Bingol, Mustafa Kaan Akalin, Meftun Culpan, Bilal Alatas, Asif Yildirim
Format:	Article
Language:	English
Published:	PeerJ Inc. 2025-08-01
Subjects:	Artificial Intelligence ESWL HOG Kidney Stone LBP
Online Access:	https://peerj.com/articles/cs-3111.pdf