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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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Auteurs principaux: Ozgur Efiloglu, Muhammed Yildirim, Kadir Yildirim, Harun Bingol, Mustafa Kaan Akalin, Meftun Culpan, Bilal Alatas, Asif Yildirim
Format: Artigo
Langue:Inglês
Publié: PeerJ Inc. 2025-08-01
Collection:PeerJ Computer Science
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Accès en ligne:https://peerj.com/articles/cs-3111.pdf
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