Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

246
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
246
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

182
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
182
Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

161
Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
161
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

684
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
684
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

403
The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
403

You might also read

Related Articles

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

Sort by
Same author

Automated classification of clinical T staging pulmonary oncology from chest CT reports: a natural language processing framework for real-world data utilization.

BMC medical informatics and decision making·2026
Same author

Quantitative Measurement of Extracellular Vesicle-Sized Particles in Blood Plasma by Laser Diffraction Without an Extraction Process: A Proof-of-Concept Study in Atrial Fibrillation.

Journal of arrhythmia·2026
Same author

Development of a Hybrid Algorithm of Claims Data and EMRs with NLP for Lung Cancer Identification.

Studies in health technology and informatics·2026
Same author

Development and Pilot Evaluation of the Full-Cloud Personal Health Train for Secure Federated Analysis Across Clinical Research Core Hospitals in Japan.

Studies in health technology and informatics·2026
Same author

Implementation and FAIR Evaluation of Clinical Data Provision Framework.

Studies in health technology and informatics·2026
Same author

Subset binding enables detection of multimodal patient subgroup patterns and drug target discovery in idiopathic pulmonary fibrosis.

Briefings in bioinformatics·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Dec 17, 2025

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

659

An Automatic Image Collection System for Multicenter Clinical Studies.

Toshihiro Takeda1, Shirou Manabe1,2, Atsushi Hattori2

  • 1Department of Medical Informatics, Osaka University Graduate School of Medicine.

Studies in Health Technology and Informatics
|June 24, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an automated medical image collection system that integrates with electronic data capture (EDC) systems. This innovation streamlines the secure transfer of anonymized images from multiple institutions for clinical research.

Keywords:
Electronic data submissionMedical imageMulticenter clinical study

More Related Videos

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.7K
Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

20.6K

Related Experiment Videos

Last Updated: Dec 17, 2025

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

659
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.7K
Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

20.6K

Area of Science:

  • Medical Imaging
  • Clinical Research Informatics
  • Data Management

Background:

  • High-quality clinical studies require medical images from diverse institutions.
  • Current image data transmission relies on manual selection, anonymization, and transfer, demanding significant human resources.
  • Electronic data capture (EDC) systems facilitate data submission but often lack integrated image handling capabilities.

Purpose of the Study:

  • To develop and evaluate an automated image collection system integrated with an EDC system.
  • To reduce manual intervention in the selection, anonymization, and transmission of medical images for clinical studies.
  • To ensure consistent subject identification across clinical data and imaging data.

Main Methods:

  • Developed an image collection system that interfaces with an existing EDC system.
  • Implemented automated selection of medical images based on EDC input.
  • Automated anonymization of patient IDs to EDC-issued subject IDs.
  • Enabled direct, unsupervised transfer of anonymized images to a central research institute.
  • Integrated image collection with the in-hospital Picture Archiving and Communication System (PACS).

Main Results:

  • The system successfully automates medical image selection, anonymization, and transfer, minimizing human intervention.
  • Introduced in October 2019 across 13 medical institutions, the system is actively collecting images.
  • Ensured synchronized management of clinical and imaging data using a unified subject ID.

Conclusions:

  • The developed image collection system effectively automates the process of acquiring medical images for clinical studies.
  • Integration with EDC systems enhances efficiency and reduces resource requirements in multi-institutional research.
  • The system facilitates the secure and standardized collection of medical images, supporting robust clinical research.