AIMC Topic: Lithotripsy

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[Construction of a back propagation neural network model for predicting urosepsis after flexible ureteroscopic lithotripsy].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences Jan 25, 2024
OBJECTIVES: To analyze the association of serum heparin-binding protein (HBP) and C-reactive protein (CRP) levels with urosepsis following flexible ureteroscopic lithotripsy (FURL) and to construct a back propagation neural network prediction model.
Humans Neural Networks, Computer Female Risk Factors Aged Adult Male Middle Aged Postoperative Complications Sepsis Logistic Models C-Reactive Protein Urinary Tract Infections Kidney Calculi Ureteroscopy Lithotripsy
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Artificial intelligence in the diagnosis, treatment and prevention of urinary stones.

Current opinion in urology Nov 1, 2020
PURPOSE OF REVIEW: There has a been rapid progress in the use of artificial intelligence in all aspects of healthcare, and in urology, this is particularly astute in the overall management of urolithiasis. This article reviews advances in the use of ...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Tomography, X-Ray Computed Electronic Health Records Treatment Outcome Nephrolithotomy, Percutaneous Ureteroscopy Urolithiasis Lithotripsy Urinary Calculi
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A neural network - based algorithm for predicting stone - free status after ESWL therapy.

International braz j urol : official journal of the Brazilian Society of Urology Jan 1, 2017
OBJECTIVE: The prototype artificial neural network (ANN) model was developed using data from patients with renal stone, in order to predict stone-free status and to help in planning treatment with Extracorporeal Shock Wave Lithotripsy (ESWL) for kidn...
Humans Neural Networks, Computer Algorithms Female Aged Young Adult Adult Male Middle Aged Infant Adolescent Child, Preschool Child Regression Analysis Predictive Value of Tests Kidney Calculi Lithotripsy
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