Publications by authors named "Pedro Hernandez-Penalver"
The main objective of the study was to demonstrate the noninferiority of the morcellation efficiency (ME) of the Multicut morcellator compared with the Piranha morcellator following anatomical endoscopic enucleation of the prostate (AEEP). : The present study is a prospective, randomized, controlled, and single-center trial. Patients with an indication for obstructive prostate surgery via AEEP were prospectively included in the study.
View Article and Find Full Text PDFCorrection: The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease.
Daniele Castellani Virgilio De Stefano Carlo Brocca Giorgio Mazzon Antonio Celia Pedro Hernandez-Penalver
World J Urol
November 2024
Article Synopsis
- The study aimed to develop a machine-learning model to predict the risk of sepsis following retrograde intrarenal surgery (RIRS) for kidney stones, including data from 1,552 patients across 16 centers.* -
- Inclusion criteria for patients were specified, and certain conditions like concomitant ureteral stones were excluded, with antibiotic treatments used where applicable.* -
- The Random Forest algorithm outperformed other machine-learning models, achieving high precision, recall, and accuracy, and a web-based version of the predictive tool is available for use in clinical settings.*