Robotics & Machine Learning Daily News2024,Issue(Apr.1) :65-66.

Istanbul University Reports Findings in Ureteroscopy (Robotic Flexible Ureterosc opy: A Step-by-step Video by Using Roboflex AvicennaTM Platform)

Robotics & Machine Learning Daily News2024,Issue(Apr.1) :65-66.

Istanbul University Reports Findings in Ureteroscopy (Robotic Flexible Ureterosc opy: A Step-by-step Video by Using Roboflex AvicennaTM Platform)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgical Procedures - Ureteroscopy is the subject of a report. According to news originating from Ista nbul, Turkey, by NewsRx correspondents, research stated, "The management of kidn ey stones, particularly those in the renal pelvis, is a critical aspect of urolo gy. The European Association of Urology guidelines recommend Extracorporeal Shoc k Wave Lithotripsy or Endourology methods, encompassing Percutaneous Nephrolitho tomy and Ureterorenoscopy (URS), for stones ranging from 10-20 mm." Our news journalists obtained a quote from the research from Istanbul University , "Robotic-assisted urological procedures have gained prominence in recent years , promising enhanced precision, and safety. This article aims to provide a detai led account of the technical aspects and outcomes of a robotic URS (robo-URS) pr ocedure in a 63-year-old male patient with a 15 mm renal pelvis stone, serving a s a reference for urologists considering this approach. The patient presented wi th right flank pain, and an unenhanced computed tomography scan confirmed the pr esence of a 15x12x13 mm stone in the right renal pelvis. After assessment and pr eparation, robo-URS was performed using the Roboflex Avicenna robotic platform ( ELMED, Ankara, Turkey) in conjunction with conventional urological instruments a nd laser technology. The procedure was completed successfully in 50 minutes with out any detectable blood loss or intraoperative complications. Robotic-assisted Ureterorenoscopy (robo-URS) is a promising approach for managing renal pelvis st ones."

Key words

Istanbul/Turkey/Eurasia/Emerging Tech nologies/Health and Medicine/Kidney/Machine Learning/Nephrology/Robotics/R obots/Surgery/Ureteroscopy/Urologic Surgical Procedures

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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