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Related Concept Videos

Urinary Tract Calculi VI: Surgical Management01:25

Urinary Tract Calculi VI: Surgical Management

Procedures for Kidney StonesMedical intervention is necessary when kidney stones or renal calculi are too large to pass spontaneously (typically greater than 5 millimeters) when stones are accompanied by symptomatic infection (such as fever or pyelonephritis), when they impair kidney function, or when they cause persistent symptoms like severe pain, nausea, or urinary retention. Additionally, patients with only one kidney or those who cannot be treated with medical management also require...
Urinary Tract Calculi III: Medical Management01:30

Urinary Tract Calculi III: Medical Management

The diagnosis of renal calculi involves several imaging techniques, including non-contrast CT scans and ultrasound. These methods help visualize kidney stones, assess their size and location, and detect possible obstructions. Additionally, Measuring urine pH is useful for diagnosing specific stone types, such as struvite (alkaline pH) and uric acid stones (acidic pH). Cystine stones are primarily linked to cystinuria, a genetic condition. A urinalysis helps detect blood in the urine (hematuria)...

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Related Experiment Video

Updated: May 22, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

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

Published on: July 11, 2025

[Artificial intelligence in urological surgery].

Sami-Ramzi Leyh-Bannurah1,2,3, Felix Chun4, Hendrik Borgmann5

  • 1Klinik und Poliklinik für Urologie am UKE, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland. s.bannurah@googlemail.com.

Urologie (Heidelberg, Germany)
|May 21, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is transforming urological robotic surgery, moving from teleoperated assistance to adaptive, semi-autonomous systems. This shift requires updates in training, quality control, and legal frameworks for AI integration.

Keywords:
Augmented realityComputer visionHaptic feedbackSurgical autonomyTele-Surgery

Related Experiment Videos

Last Updated: May 22, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

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

Published on: July 11, 2025

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Urology

Background:

  • Urological robotic surgery is a data-rich environment ideal for AI development.
  • Current AI integration focuses on supportive systems and data-driven analytics.

Purpose of the Study:

  • To present the current state of AI in urological robotic surgery.
  • To classify existing AI applications and evaluate autonomous systems.
  • To consider technological, regulatory, and clinical aspects of AI integration.

Main Methods:

  • Literature analysis and systematic review of robotic platforms.
  • Inclusion of approved AI medical devices and preclinical developments.
  • Consideration of international research initiatives for autonomous surgical systems.

Main Results:

  • AI supports environment modeling and augmented reality (AR) navigation.
  • Clinically approved platforms utilize AI for performance analytics and treatment planning.
  • Increasing autonomy necessitates robust validation, regulation, and liability frameworks.

Conclusions:

  • Urological robotic surgery is shifting towards semi-autonomous systems.
  • Technological innovation and research programs drive this transition.
  • Adaptations in surgical training, quality control, and legal frameworks are essential.