AIMC Topic: Lithotripsy

Clear Filters Showing 11 to 15 of 15 articles

A Prediction Model Using Machine Learning Algorithm for Assessing Stone-Free Status after Single Session Shock Wave Lithotripsy to Treat Ureteral Stones.

The Journal of urology Jul 20, 2018
PURPOSE: The aim of this study was to develop and validate a decision support model using a machine learning algorithm to predict treatment success after single session shock wave lithotripsy in ureteral stone cases.
Ureteral Calculi Lithotripsy Female Adult Middle Aged Treatment Outcome Male Prognosis Retrospective Studies Tomography, X-Ray Computed Decision Support Techniques Computer Simulation Machine Learning Algorithms Humans
View on PubMed DOI

Artificial Neural Network System to Predict the Postoperative Outcome of Percutaneous Nephrolithotomy.

Journal of endourology Mar 13, 2017
PURPOSE: To construct, train, and apply an artificial neural network (ANN) system for prediction of different outcome variables of percutaneous nephrolithotomy (PCNL). We calculated predictive accuracy, sensitivity, and precision for each outcome var...
Blood Transfusion Models, Statistical Data Mining Middle Aged Treatment Outcome Machine Learning Adult Humans Tomography, X-Ray Computed Software Postoperative Period Male Nephrolithotomy, Percutaneous Neural Networks, Computer Female Prospective Studies Kidney Calculi Reproducibility of Results Nephrostomy, Percutaneous Lithotripsy
View on PubMed DOI

[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.
Postoperative Complications Neural Networks, Computer Male Sepsis Kidney Calculi C-Reactive Protein Middle Aged Female Logistic Models Urinary Tract Infections Ureteroscopy Aged Humans Risk Factors Adult Lithotripsy
View on PubMed DOI

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 Electronic Health Records Treatment Outcome Nephrolithotomy, Percutaneous Machine Learning Tomography, X-Ray Computed Lithotripsy Urinary Calculi Ureteroscopy Urolithiasis
View on PubMed DOI

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...
Young Adult Adult Middle Aged Infant Male Algorithms Humans Kidney Calculi Child Female Neural Networks, Computer Adolescent Lithotripsy Aged Regression Analysis Child, Preschool Predictive Value of Tests
View on PubMed DOI
Popular Topics
Recent Journals