AIMC Topic: Kidney Calculi

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Advancements in Uric Acid Stone Detection: Integrating Deep Learning with CT Imaging and Clinical Assessments in the Upper Urinary Tract.

Urologia internationalis
INTRODUCTION: Among upper urinary tract stones, a significant proportion comprises uric acid stones. The aim of this study was to use machine learning techniques to analyze CT scans and blood and urine test data, with the aim of establishing multiple...

Percutaneous nephrolithotomy guided by 5G-powered robot-assisted teleultrasound diagnosis system: first clinical experience with a novel tele-assistance approach (IDEAL stage 1).

BMC urology
BACKGROUND: To demonstrate the technical feasibility of percutaneous nephrolithotomy (PCNL) guided by 5G-powered robot-assisted teleultrasound diagnosis system (RTDS) in a complex kidney-stone (CKS) cohort and present our preliminary outcomes. PCNL i...

Comparison of Percutaneous Renal Access Between Robot-Assisted Fluoroscopy Guidance Using the Bi-Plane Method and Ultrasound Guidance: A Multicenter Randomized Control Benchtop Study.

Journal of endourology
To evaluate the efficacy of supine percutaneous renal access by robot-assisted (RA) fluoroscopy and ultrasound (US) guidance in terms of procedural outcomes and surgeon workload. We conducted a multicenter, randomized, controlled benchtop study inv...

Artificial Intelligence to Patient-Targeted Health Information on Kidney Stone Disease: Comment.

Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation

Application of Artificial Intelligence to Patient-Targeted Health Information on Kidney Stone Disease.

Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation
OBJECTIVE: The American Medical Association recommends health information to be written at a 6th grade level reading level. Our aim was to determine whether Artificial Intelligence can outperform the existing health information on kidney stone preven...

Fully Automated Longitudinal Assessment of Renal Stone Burden on Serial CT Imaging Using Deep Learning.

Journal of endourology
Use deep learning (DL) to automate the measurement and tracking of kidney stone burden over serial CT scans. This retrospective study included 259 scans from 113 symptomatic patients being treated for urolithiasis at a single medical center between...

Technical Aspects and Clinical Outcomes of Robotic Ureteroscopy: Is It Ready for Primetime?

Current urology reports
PURPOSE OF REVIEW: Robotic surgery in urology has already been widely employed in robotic-assisted laparoscopic surgery for minimally invasive procedures (MIS). We wanted to analyse rapidly developing robotic ureteroscopy (RoboURS) for the treatment ...

Effective deep learning classification for kidney stone using axial computed tomography (CT) images.

Biomedizinische Technik. Biomedical engineering
INTRODUCTION: Stone formation in the kidneys is a common disease, and the high rate of recurrence and morbidity of the disease worries all patients with kidney stones. There are many imaging options for diagnosing and managing kidney stone disease, a...

Ureteropelvic junction obstruction and renal calculi: Simultaneous treatment by robot-assisted laparoscopic pyeloplasty and transcutaneous retrograde flexible ureteroscopy. Technique description and early outcomes.

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie
BACKGROUND: Ureteropelvic junction obstruction (UPJO) and renal calculi are associated in 20 to 30% of cases and treatment is mandatory. The simultaneous surgical management is a therapeutic challenge that is still a source of controversy. We describ...