The use of an artificial neural network in the evaluation of the extracorporeal shockwave lithotripsy as a treatment of choice for urinary lithiasis

The use of an artificial neural network in the evaluation of the extracorporeal shockwave lithotripsy as a treatment of choice for urinary lithiasis

Objective: Artificial neural networks (ANNs) are widely applied in medicine, since they substantially increase the sensitivity and specificity of the diagnosis, classification, and the prognosis of a medical condition. In this study, we constructed an ANN to evaluate several parameters of extracorpo...

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Main Authors: Athanasios Tsitsiflis, Yiannis Kiouvrekis, Georgios Chasiotis, Georgios Perifanos, Stavros Gravas, Ioannis Stefanidis, Vassilios Tzortzis, Anastasios Karatzas
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Asian Journal of Urology
Subjects:
Artificial neural network
Extracorporeal lithotripsy
Urinary lithiasis
Lithotripsy efficacy
Lithotripsy complications
Online Access:http://www.sciencedirect.com/science/article/pii/S2214388221001016
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