AIMC Topic: Nephrectomy
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Learning curves for robot-assisted and laparoscopic partial nephrectomy.
Journal of endourology
Oct 21, 2014
OBJECTIVES: To evaluate the learning curve of robot-assisted partial nephrectomy (RAPN) and laparoscopic partial nephrectomy (LPN) between two surgeons at a single institution.
Endophytic tumours do not constitute a barrier to robotic partial nephrectomy.
BJU international
Oct 16, 2014
Endoscopic robot-assisted simple enucleation (ERASE) for clinical T1 renal masses: description of the technique and early postoperative results.
Surgical endoscopy
Aug 27, 2014
BACKGROUND: Simple enucleation (SE) has proven to be oncologically safe. We describe the surgical steps and report the results of the Endoscopic Robotic-Assisted Simple Enucleation (ERASE) technique.
Perioperative outcomes of robotic partial nephrectomy for intrarenal tumors.
Journal of endourology
Jul 31, 2014
INTRODUCTION: Intrarenal tumors pose a unique challenge to surgeons due to the lack of visual cues on the kidney surface. Intraoperative ultrasonography has facilitated the management of these tumors during minimally invasive partial nephrectomy. We ...
Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records.
Studies in health technology and informatics
Aug 7, 2025
Nephrectomy, the surgical removal of a kidney, is a critical treatment for renal cancer, and predicting its likelihood can help guide clinical decision-making and optimize preoperative planning. This study utilized real-world electronic health record...
From planning to prognosis: predicting renal function after minimally-invasive partial nephrectomy with artificial intelligence.
Minerva urology and nephrology
Jun 1, 2025
This study presents a machine learning model to predict renal function decline following minimally-invasive partial nephrectomy. Using a dataset of 556 patients treated between 2015 and 2023, the model incorporated patient, tumor, and intraoperative ...
Preoperative kidney tumor risk estimation with AI: From logistic regression to transformer.
PloS one
Jan 1, 2025
We consider the problem of renal mass risk classification to support doctors in adjuvant treatment decisions following nephrectomy. Recommendation of adjuvant therapy based on the mass appearance poses two major challenges: first, morphologic pattern...
Artificial intelligence can help individualize Wilms tumor treatment by predicting tumor response to preoperative chemotherapy.
Investigative and clinical urology
Jan 1, 2025
PURPOSE: To create a computer-aided prediction (CAP) system to predict Wilms tumor (WT) responsiveness to preoperative chemotherapy (PC) using pre-therapy contrast-enhanced computed tomography (CECT).
Treatment Outcome
Kidney Neoplasms
Nephrectomy
Preoperative Care
Adolescent
Child, Preschool
Child
Antineoplastic Combined Chemotherapy Protocols
Vincristine
Wilms Tumor
Dactinomycin
Humans
Artificial Intelligence
Precision Medicine
Retrospective Studies
Tomography, X-Ray Computed
Female
Male
Infant
Selective Clamping for Robot-Assisted Surgical Procedures.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Partial nephrectomy, the gold standard treatment for renal tumors, is performed with clamping of the renal arteries, in order to interrupt the blood flowing towards the tumor. However, the temporary interruption of arterial flow may lead to ischemia ...
Factors affecting the use of a three-dimensional model during robot-assisted partial nephrectomy.
Asian journal of endoscopic surgery
Apr 1, 2024
INTRODUCTION: This study aimed to identify cases that require a three-dimensional-printed kidney model in robot-assisted partial nephrectomy.
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