INTRODUCTION AND OBJECTIVE: High frequency (HF) in laser lithotripsy lacks a consistent definition, potentially impacting clinical outcomes and patient safety. This review aims to analyze available evidence on the definition of HF.
PURPOSE: We developed Machine learning (ML) algorithms to predict ureteroscopy (URS) outcomes, offering insights into diagnosis and treatment planning, personalised care and improved clinical decision-making.
To test the safety and feasibility of laser lithotripsy for midsize renal stones using a newly developed robotic retrograde intrarenal surgery (RIRS) system (easyUretero) in a porcine model. Three urologic surgeons representing three different RIRS...
PURPOSE: To present the initial prospective clinical assessment of the ILY robotic ureteroscopy manipulator platform, focusing on its safety and effectiveness.
We aimed to develop machine learning(ML) algorithms to evaluate complications of flexible ureteroscopy and laser lithotripsy(fURSL), providing a valid predictive model. 15 ML algorithms were trained on a large number fURSL data from > 6500 patients f...
Patients after holmium laser lithotripsy have a certain probability of getting postoperative infection. An early and accurate diagnosis of postoperative infection allows a timely administration of appropriate antibiotic treatment. However, doctors ca...