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Related Concept Videos

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

893
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
893
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

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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,...
427

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Related Experiment Video

Updated: May 3, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Advancements and Challenges in Computer-Assisted Medical Interventions for Image-Guided Prostate Cancer Treatments.

Jocelyne Troccaz1, Sandrine Voros1

  • 1Université Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, INSERM, TIMC, Grenoble, France; email: jocelyne.troccaz@univ-grenoble-alpes.fr, sandrine.voros@univ-grenoble-alpes.fr.

Annual Review of Biomedical Engineering
|May 1, 2026
PubMed
Summary
This summary is machine-generated.

Computer-assisted medical interventions (CAMI) enhance patient care by creating digital twins for precise surgical planning and execution. These systems improve safety and efficiency in minimally invasive procedures, addressing challenges in real-time adaptation.

Keywords:
brachytherapycomputer-assisted medical interventiondigital surgeryimage-based interventionlaparoscopic surgeryminimally invasive interventionsprecision medicineprostate cancer

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Area of Science:

  • Medical Technology
  • Surgical Robotics
  • Digital Health

Background:

  • Computer-assisted medical interventions (CAMI) support physicians in making optimal diagnostic and therapeutic decisions.
  • CAMI involves creating and updating patient-specific digital twins using multimodal data and prior knowledge.

Purpose of the Study:

  • To provide insight into the current state of CAMI.
  • To address existing challenges and bottlenecks in CAMI.
  • To illustrate CAMI applications in image-based prostate cancer treatments.

Main Methods:

  • Constructing and continuously updating patient-specific digital twins.
  • Leveraging digital twins for intervention planning and simulation.
  • Utilizing medical devices for intervention execution and real-time monitoring.

Main Results:

  • CAMI facilitates safe and efficient execution of medical interventions.
  • Real-time monitoring and adjustment are crucial for dynamic and deformable organs.
  • Integration of devices and sensors enhances perception and dexterity for minimally invasive procedures.

Conclusions:

  • CAMI significantly enhances diagnostic and therapeutic decision-making and intervention execution.
  • Digital twin technology is central to planning, simulation, and real-time adaptation in CAMI.
  • Addressing challenges in CAMI is vital for advancing minimally invasive treatments, as exemplified by prostate cancer therapies.