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Related Concept Videos

Computed Tomography01:10

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...
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Imaging Studies III: Computed Tomography01:27

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...
Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

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Related Experiment Video

Updated: May 10, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Cloud computing in medical imaging.

George C Kagadis1, Christos Kloukinas, Kevin Moore

  • 1Department of Medical Physics, School of Medicine, University of Patras, Rion GR 26504, Greece. gkagad@gmail.com

Medical Physics
|July 5, 2013
PubMed
Summary
This summary is machine-generated.

Cloud computing offers advanced resources for processing large medical datasets, driving innovation in healthcare research and clinical applications. This paper explores its applicability in medical imaging, including security and ethical considerations.

Related Experiment Videos

Last Updated: May 10, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Area of Science:

  • Healthcare Technology
  • Medical Informatics
  • Cloud Computing Applications

Background:

  • Technology has historically transformed healthcare procedures, devices, and pharmaceuticals.
  • Cloud computing is emerging as a significant topic in medical research and clinical practice.
  • The accessibility and cost-effectiveness of cloud resources attract researchers and clinicians.

Purpose of the Study:

  • To address key questions regarding the application of advanced cloud computing in medical imaging.
  • To examine the potential benefits and challenges of cloud adoption in healthcare.
  • To discuss the security and ethical implications associated with cloud computing in medicine.

Main Methods:

  • This paper is a Vision 20/20 review, synthesizing current knowledge and future directions.
  • It analyzes the requirements for processing, storing, and exchanging large medical datasets.
  • The study considers the integration of cloud services into medical imaging workflows.

Main Results:

  • Cloud computing provides scalable and accessible resources crucial for handling big data in healthcare.
  • Researchers are increasingly migrating their work to the cloud to leverage these capabilities.
  • The adoption of cloud computing in medical imaging presents both opportunities and challenges.

Conclusions:

  • Advanced cloud computing holds significant promise for revolutionizing medical imaging and healthcare research.
  • Addressing security and ethical concerns is paramount for successful cloud implementation in healthcare.
  • The future of medical imaging will likely involve extensive use of cloud-based solutions.