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 , Andrea Bosio , Claudia Gozzo , Eugenio Alessandria , Luigi Cormio , Runeel Ratnayake , Andrea Vismara Fugini , Tonino Morena , Yiloren Tanidir , Tarik Emre Sener , Simon Choong , Stefania Ferretti , Andrea Pescuma , Salvatore Micali , Nicola Pavan , Alchiede Simonato , Roberto Miano , Luca Orecchia , Giacomo Maria Pirola , Angelo Naselli , Esteban Emiliani , Pedro Hernandez‑Penalver , Michele Di Dio , Claudio Bisegna , Davide Campobasso , Emanuele Serafin , Alessandro Antonelli , Emanuele Rubilotta , Deepak Ragoori , Emanuele Balloni , Marina Paolanti , Vineet Gauhar , Andrea Benedetto Galosi WORLD JOURNAL OF UROLOGY(2024)
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Kidney stones, Flexible ureteroscopy, Complications, Sepsis, Retrograde intrarenal surgery, Machine learning
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