The prediction of treatment success and complications of shockwave lithotripsy using artificial intelligence

The prediction of treatment success and complications of shockwave lithotripsy using artificial intelligence

Bibliographic Details
Main Authors: R.G.N. Seltzer, B.D. Hamilton, D.E. Klett, Z. Chen, S.Y. Nakada, G.S. Gerber
Format: Article
Language:English
Published: Elsevier 2020-07-01
Series:European Urology Open Science
Online Access:http://www.sciencedirect.com/science/article/pii/S2666168320338581
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spelling doaj-a7efcdd013cf4d69beaa0d7c9c046c6e2020-12-30T04:18:35ZengElsevierEuropean Urology Open Science2666-16832020-07-0119e1865The prediction of treatment success and complications of shockwave lithotripsy using artificial intelligenceR.G.N. SeltzerB.D. HamiltonD.E. KlettZ. ChenS.Y. NakadaG.S. Gerberhttp://www.sciencedirect.com/science/article/pii/S2666168320338581
collection DOAJ
language English
format Article
sources DOAJ
author R.G.N. Seltzer
B.D. Hamilton
D.E. Klett
Z. Chen
S.Y. Nakada
G.S. Gerber
spellingShingle R.G.N. Seltzer
B.D. Hamilton
D.E. Klett
Z. Chen
S.Y. Nakada
G.S. Gerber
The prediction of treatment success and complications of shockwave lithotripsy using artificial intelligence
European Urology Open Science
author_facet R.G.N. Seltzer
B.D. Hamilton
D.E. Klett
Z. Chen
S.Y. Nakada
G.S. Gerber
author_sort R.G.N. Seltzer
title The prediction of treatment success and complications of shockwave lithotripsy using artificial intelligence
title_short The prediction of treatment success and complications of shockwave lithotripsy using artificial intelligence
title_full The prediction of treatment success and complications of shockwave lithotripsy using artificial intelligence
title_fullStr The prediction of treatment success and complications of shockwave lithotripsy using artificial intelligence
title_full_unstemmed The prediction of treatment success and complications of shockwave lithotripsy using artificial intelligence
title_sort prediction of treatment success and complications of shockwave lithotripsy using artificial intelligence
publisher Elsevier
series European Urology Open Science
issn 2666-1683
publishDate 2020-07-01
url http://www.sciencedirect.com/science/article/pii/S2666168320338581
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