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World Journal of Urology|May 28, 2021
Machine learning applications to enhance patient specific care for urologic surgeryPatrick W Doyle, Nicholas L KavoussiProceedings of Spie--The International Society for Optical Engineering|June 29, 2026
AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal SurgeryDaiwei Lu, Yifan Wu, Xing Yao, et al.Journal of Endourology|February 3, 2026
Cornering the Challenge: Initial Clinical Experience with EndoTheia FlexStone Endoscopic Steerable BasketKimberly A Maciolek, Amir I Khan, Ryan S Hsi, et al.BJU International|September 25, 2025
A computer vision model for automated kidney stone segmentation and evaluation of its performance vs surgeonsDaiwei Lu, Ekamjit S Deol, Tatsuki Koyama, et al.Journal of Endourology|July 27, 2021
Machine Learning Prediction of Kidney Stone Composition Using Electronic Health Record-Derived FeaturesAbin Abraham, Nicholas L Kavoussi, Wilson Sui, et al.The Journal of Sexual Medicine|September 2, 2017
"Stiction Syndrome": Non-Operative Management of Patients With Difficult AMS 700 Series InflationNicholas L Kavoussi, Boyd R Viers, Maia E VanDyke, et al.Urolithiasis|April 17, 2023
Feasibility of stone recurrence risk stratification using the recurrence of kidney stone (ROKS) nomogramNicholas L Kavoussi, Alexandre Da Silva, Chase Floyd, et al.Journal of Endourology|November 19, 2022
Computer Vision Enabled Segmentation of Kidney Stones During Ureteroscopy and Laser LithotripsyShaan A Setia, Zachary A Stoebner, Chase Floyd, et al.Urology|July 19, 2022
Machine Learning Models to Predict 24 Hour Urinary Abnormalities for Kidney Stone DiseaseNicholas L Kavoussi, Chase Floyd, Abin Abraham, et al.The Journal of Urology|February 22, 2021
MOSESTM Technology for Holmium Laser Enucleation of the Prostate: A Prospective Double-Blind Randomized Controlled TrialNicholas L Kavoussi, Naren Nimmagadda, Jennifer Robles, et al.Pageof 5