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

Positron Emission Tomography

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...

Radiological Investigation I: X-ray and CT

Radiological Investigation I: X-ray and CT

Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and the...

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,...

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

You might also read

Related Articles

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

Sort by

Same author

Correlates of Engagement and Associations with Outcomes in a Cannabis Harm Reduction Mobile App for Youth with First-Episode Psychosis: Exploratory Findings from the CHAMPS Pilot Randomized Controlled Trial.

JMIR formative research·2026

Same author

Online promotional practices and apparent violations from licensed cannabis retail stores in Canada.

The International journal on drug policy·2026

Same author

Efficient Route Plan for Intra-Hospital Patient Transport Using Multi-Modal Optimization Methods.

Studies in health technology and informatics·2026

Same author

Cannabis Legalization Outcomes in Canada: Trading Off Increased Health Problem for Reduced Crime Burdens Is Not Good Enough.

Canadian journal of psychiatry. Revue canadienne de psychiatrie·2026

Same author

Recent decreases in drug overdose deaths: Assessing evidence for supply-related drivers and implications for health-oriented drug policy in Canada.

Preventive medicine·2026

Same author

Clarifying the evidence and implications of prioritizing extended-release buprenorphine for opioid agonist treatment in Canada's federal correctional system.

Canadian journal of public health = Revue canadienne de sante publique·2026

Search research articles

Related Experiment Video

Updated: May 28, 2026

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

Towards case-based medical learning in radiological decision making using content-based image retrieval.

Petra Welter¹, Thomas M Deserno, Benedikt Fischer

¹Department of Medical Informatics, RWTH Aachen University of Technology, Germany. PWelter@mi.rwth-aachen.de

BMC Medical Informatics and Decision Making

|October 29, 2011

Summary

This summary is machine-generated.

This study introduces IRMAdiag, a novel training system for radiologists that integrates with clinical workflows. It enhances diagnostic skills using real patient cases and adult learning principles for better radiological education.

More Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Related Experiment Videos

Last Updated: May 28, 2026

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

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Area of Science:

Medical Education
Radiology Training
Diagnostic Systems

Background:

Radiologists' diagnostic skills require intensive practice, but current training systems lack clinical integration and use laboriously prepared cases.
Existing systems do not effectively advance decision-making skills or integrate into the clinical environment, hindering radiological education.

Purpose of the Study:

To develop an improved diagnostic training system for radiology.
To create a system that integrates with clinical workflows and utilizes real patient cases.
To enhance decision-making skills in radiological education through a problem-based learning approach.

Main Methods:

Investigated adult learning theories, case-based reasoning (CBR), and content-based image retrieval (CBIR).
Developed the image-based case retrieval for radiological education (IBCR-RE) concept, embedded in the Seven Jump problem-based learning (PBL) approach.
Analyzed the radiological workflow and environment to create a realistic learning setting.

Main Results:

Mapped IBCR-RE to the Image Retrieval in Medical Applications (IRMA) framework, creating the IRMAdiag training application.
IRMAdiag utilizes the IRMA CBIR engine and IRMAcon viewer, designed for integration into hospital IT infrastructure via DICOM and HL7 standards.
A case description and evaluation plan were presented for comprehensive system assessment.

Conclusions:

The IBCR-RE paradigm offers work-relevant experiences in an integrated training environment.
Utilizes up-to-date training cases from electronic medical records, reducing preparation burden.
Supports adult learning principles and the patient- and problem-oriented nature of medicine, with future work on IRMAdiag implementation.