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Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework

European urology focus, 2021-07, Vol.7 (4), p.672-682

2021

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Existing trends and applications of artificial intelligence in urothelial cancer: A scoping review

Canadian Urological Association journal, 2023-11, Vol.17 (11), p.395-E401

2023

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Urinary complications after penile inversion vaginoplasty in transgender women Systematic review and meta-analysis

Canadian Urological Association journal, 2023-04, Vol.17 (4), p.121-128

2023

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A quantitative analysis of voiding cystourethrogram features confirms the association between high-grade vesicoureteral reflux with male sex, younger age, and hydronephrosis

Canadian Urological Association journal, 2023-08, Vol.17 (8), p.243-246

2023

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Explainable artificial intelligence to predict the risk of side-specific extraprostatic extension in pre-prostatectomy patients

Canadian Urological Association journal, 2022-06, Vol.16 (6), p.213-221

2022

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Peritoneal dialysis catheter removal at the time of renal transplantation: Choosing the optimal candidate

Canadian Urological Association journal, 2020-01, Vol.14 (1), p.E13-E19

2020

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Evolution of an ultracold gas in a non-Abelian gauge field: finite temperature effect

Quantum electronics (Woodbury, N.Y.), 2022-06, Vol.52 (6), p.532-537

2022

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Testosterone Deficiency: A Review and Comparison of Current Guidelines

Journal of sexual medicine, 2019-06, Vol.16 (6), p.812-820

2019

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MP40-05 DIAGNOSIS AND MANAGEMENT OF TESTOSTERONE DEFICIENCY - COMPARISON OF CURRENT GUIDELINES

The Journal of urology, 2019-04, Vol.201 (Supplement 4)

2019

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Wave-packet dynamic in a SU(2) non-Abelian Gauge field

2021 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), 2021, p.1-1

2021

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Implementing assessments of robot‐assisted technical skill in urological education: a systematic review and synthesis of the validity evidence

BJU international, 2018-09, Vol.122 (3), p.501-519

2018

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Meningeal metastases in prostate cancer: Institutional series and comprehensive systematic review

Urologic oncology, 2023-06, Vol.41 (6), p.284-291

2023

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Industry Relationships in Urology: Characterizing the High-payment Urologists. Letter

The Journal of urology, 2023-10, Vol.210 (4), p.586-588

2023

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Current Educational Interventions for Improving Technical Skills of Urology Trainees in Endourological Procedures: A Systematic Review

Journal of endourology, 2020-07, Vol.34 (7), p.723

2020

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Letter to the Editor: Disaggregating Asian Prostate Cancer Cohorts Can Help Us Improve Care for All Patients With Prostate Cancer

Journal of the National Comprehensive Cancer Network, 2023-11, Vol.21 (11), p.xli

2023

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Predicting obstruction risk using common ultrasonography parameters in paediatric hydronephrosis with machine learning

BJU international, 2024-01, Vol.133 (1), p.79-86

2024

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Letter to the editor: Quantification of vesicoureteral reflux using machine learning

Journal of pediatric urology, 2024-04, Vol.20 (2), p.269-270

2024

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Multi-institutional Validation of Improved Vesicoureteral Reflux Assessment With Simple and Machine Learning Approaches

The Journal of urology, 2022-12, Vol.208 (6), p.1314-1322

2022

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The effect of primary urinary diversion on kidney function in posterior urethral valve: A matched comparison

Urology (Ridgewood, N.J.), 2023-02, Vol.172, p.170-173

2023

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Personalized application of machine learning algorithms to identify pediatric patients at risk for recurrent ureteropelvic junction obstruction after dismembered pyeloplasty

World journal of urology, 2022-02, Vol.40 (2), p.593-599

2022

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Clinical Applications of Machine Learning for Urolithiasis and Benign Prostatic Hyperplasia: A Systematic Review

Journal of endourology, 2023-04, Vol.37 (4), p.474

2023

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Nephron-sparing surgery for renal cell carcinoma in children and young adults: A systematic review

Urologic oncology, 2023-03, Vol.41 (3), p.137-144

2023

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A machine learning-based approach for quantitative grading of vesicoureteral reflux from voiding cystourethrograms: Methods and proof of concept

Journal of pediatric urology, 2022-02, Vol.18 (1), p.78.e1-78.e7

2022

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Integrating artificial intelligence into healthcare systems: more than just the algorithm

NPJ digital medicine, 2024-03, Vol.7 (1), p.52-52, Article 52

2024

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Response to Alken re: "Current Educational Interventions for Improving Technical Skills of Urology Trainees in Endourological Procedures: A Systematic Review" by Aditya et al

Journal of endourology, 2020-07, Vol.34 (7), p.734

2020

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Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework

Existing trends and applications of artificial intelligence in urothelial cancer: A scoping review

Urinary complications after penile inversion vaginoplasty in transgender women Systematic review and meta-analysis

A quantitative analysis of voiding cystourethrogram features confirms the association between high-grade vesicoureteral reflux with male sex, younger age, and hydronephrosis

Explainable artificial intelligence to predict the risk of side-specific extraprostatic extension in pre-prostatectomy patients

Peritoneal dialysis catheter removal at the time of renal transplantation: Choosing the optimal candidate

Evolution of an ultracold gas in a non-Abelian gauge field: finite temperature effect

Testosterone Deficiency: A Review and Comparison of Current Guidelines

MP40-05 DIAGNOSIS AND MANAGEMENT OF TESTOSTERONE DEFICIENCY - COMPARISON OF CURRENT GUIDELINES

Wave-packet dynamic in a SU(2) non-Abelian Gauge field

Implementing assessments of robot‐assisted technical skill in urological education: a systematic review and synthesis of the validity evidence

Meningeal metastases in prostate cancer: Institutional series and comprehensive systematic review

Industry Relationships in Urology: Characterizing the High-payment Urologists. Letter

Current Educational Interventions for Improving Technical Skills of Urology Trainees in Endourological Procedures: A Systematic Review

Letter to the Editor: Disaggregating Asian Prostate Cancer Cohorts Can Help Us Improve Care for All Patients With Prostate Cancer

Predicting obstruction risk using common ultrasonography parameters in paediatric hydronephrosis with machine learning

Letter to the editor: Quantification of vesicoureteral reflux using machine learning

Multi-institutional Validation of Improved Vesicoureteral Reflux Assessment With Simple and Machine Learning Approaches

The effect of primary urinary diversion on kidney function in posterior urethral valve: A matched comparison

Personalized application of machine learning algorithms to identify pediatric patients at risk for recurrent ureteropelvic junction obstruction after dismembered pyeloplasty

Clinical Applications of Machine Learning for Urolithiasis and Benign Prostatic Hyperplasia: A Systematic Review

Nephron-sparing surgery for renal cell carcinoma in children and young adults: A systematic review

A machine learning-based approach for quantitative grading of vesicoureteral reflux from voiding cystourethrograms: Methods and proof of concept

Integrating artificial intelligence into healthcare systems: more than just the algorithm

Response to Alken re: "Current Educational Interventions for Improving Technical Skills of Urology Trainees in Endourological Procedures: A Systematic Review" by Aditya et al

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