Can Machine Learning Correctly Predict Outcomes of Flexible Ureteroscopy with Laser Lithotripsy for Kidney Stone Disease? Results from a Large Endourology University Centre

Can Machine Learning Correctly Predict Outcomes of Flexible Ureteroscopy with Laser Lithotripsy for Kidney Stone Disease? Results from a Large Endourology University Centre

Background and objective: The integration of machine learning (ML) in health care has garnered significant attention because of its unprecedented opportunities to enhance patient care and outcomes. In this study, we trained ML algorithms for automated prediction of outcomes of ureteroscopic laser li...

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Bibliographic Details
Main Authors: Carlotta Nedbal, Sairam Adithya, Nithesh Naik, Shilpa Gite, Patrick Juliebø-Jones, Bhaskar K. Somani
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:European Urology Open Science
Subjects:
Artificial intelligence
Ureteroscopy
Kidney calculi
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666168324003677

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http://www.sciencedirect.com/science/article/pii/S2666168324003677

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