Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Imaging Studies IV: Magnetic Resonance Imaging

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

When evidence is not interchangeable: The limits of therapeutic equivalence in high-risk biochemical recurrence of prostate cancer.

Actas urologicas espanolas·2026

Same author

The future of prostate cancer screening in the European Union: PRAISE-U project.

Actas urologicas espanolas·2026

Same author

Past and present of prostate cancer screening in the European Union.

Actas urologicas espanolas·2026

Same author

Efficacy and safety of active surveillance and chemoablation in the management of non-muscle invasive bladder cancer (NMIBC): Systematic review and pooled analysis by the European Association of Urology-Young Academic Urologists: Urothelial Carcinoma Working Group.

Actas urologicas espanolas·2026

Same author

The role of focal therapy for localized prostate cancer: From diagnosis to ablation.

Actas urologicas espanolas·2026

Same author

Prospective analysis of urinary continence and urethral stricture after Holmium laser enucleation of the prostate (HoLEP): A consecutive 254-case series.

Actas urologicas espanolas·2026

Same journal

Comparative outcomes of Mini-PCNL and suction-assisted flexible ureteroscopy in patients with renal stones ≥2 cm.

Actas urologicas espanolas·2026

Same journal

Morphometric changes in pelvic floor structure following non-invasive rehabilitation and neuromodulation assessed by ultrasound imaging.

Actas urologicas espanolas·2026

Same journal

Improving long-term monitoring in NMIBC: Digital Uromonitor® (dUM) as a complementary tool to cystoscopy for two-year recurrence risk stratification.

Actas urologicas espanolas·2026

Same journal

i-PCNL: a novel ureteral-catheter application for continuous unidirectional high-flow irrigation during Percutaneous Nephrolithotomy. Technique description and preliminary outcomes.

Actas urologicas espanolas·2026

Same journal

Reconstructing the reconstructed: Outcomes of redo-urethroplasty for recurrent urethral strictures.

Actas urologicas espanolas·2026

Same journal

Functional outcomes of pyeloplasty in children with reduced preoperative renal function: A multicenter study.

Actas urologicas espanolas·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 20, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Artificial intelligence and simulation in urology.

J Gómez Rivas¹, C Toribio Vázquez², C Ballesteros Ruiz²

¹Departamento de Urología, Hospital Clínico San Carlos, Madrid, Spain; Young Academic Urologist-Urotechnology Working Party (ESUT-YAU), European Association of Urology, Arnhem, The Netherlands.

Actas Urologicas Espanolas

|September 16, 2021

Summary

This summary is machine-generated.

Artificial intelligence (AI) enhances surgical training in urology by enabling progressive skill acquisition through simulators and improving patient safety. AI also aids in surgical planning via advanced imaging analysis.

Keywords:

Aprendizaje automático Artificial intelligence Entrenamiento Inteligencia artificial Machine learning Training Urology Urología

More Related Videos

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Related Experiment Videos

Last Updated: Oct 20, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Area of Science:

Medical Technology
Surgical Education
Artificial Intelligence

Background:

Artificial intelligence (AI) is rapidly advancing and being integrated into medical practice.
AI applications in medicine improve clinical and surgical outcomes.
AI offers novel solutions for surgical training, aiming to reduce patient risks.

Purpose of the Study:

To analyze the benefits of AI in urological surgical training.
To explore how AI contributes to skill development in surgery.

Main Methods:

Literature research was conducted to find English-language articles.
The research focused on AI in medicine, surgery, and surgical skill acquisition.

Main Results:

AI has transformed surgical training, enabling progressive skill acquisition.
AI-powered simulators offer a safe environment for learning increasingly complex procedures.
AI assists in surgical and treatment planning through enhanced imaging analysis.

Conclusions:

AI integration into daily clinical practice signifies substantial progress in medicine.
AI is particularly impactful in advancing surgical training methodologies.