AIMC Topic: Kidney Calculi
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Deep learning model-assisted detection of kidney stones on computed tomography.
International braz j urol : official journal of the Brazilian Society of Urology
Jan 1, 2022
INTRODUCTION: The aim of this study was to investigate the success of a deep learning model in detecting kidney stones in different planes according to stone size on unenhanced computed tomography (CT) images.
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Knowing the type (i.e., the biochemical composition) of kidney stones is crucial to prevent relapses with an appropriate treatment. During ureteroscopies, kidney stones are fragmented, extracted from the urinary tract, and their composition is determ...
Automated Needle Targeting with X-ray (ANT-X) - Robot-assisted device for percutaneous nephrolithotomy (PCNL) with its first successful use in human.
Journal of endourology
Jun 1, 2021
INTRODUCTION: To make percutaneous access easier in PCNL, we developed Automated Needle Targeting with X-ray (ANT-X).
[Urology].
Revue medicale suisse
Jan 13, 2021
Over the last year, urologic progress remains driven by the quick technologic evolution, with a focus on Laser and robotics. The latter appears to potentially contribute to the drift towards ambulatory surgery, in particular for distinct sub-populati...
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...
[Comparison of laparoscopic pyelolithotomy and percutaneous nephrolithotomy for renal pelvic stones larger than 2.5 cm].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Feb 20, 2016
OBJECTIVE: To compare the safety, efficacy and complications of laparoscopic pyelolithotomy (LPL) and percutaneous nephrolithotomy (PCNL) for treatment of renal pelvic stones larger than 2.5 cm.
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