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Related Concept Videos

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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.
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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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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.
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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...
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Digital Twins in Radiology.

Filippo Pesapane1, Anna Rotili1, Silvia Penco1

  • 1Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

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Digital twins are virtual models revolutionizing healthcare by enabling personalized medicine and virtual clinical trials. Radiologists can lead the integration of this transformative technology in medical practice.

Keywords:
artificial intelligencedigital devicesdigital patientsdigital twinspersonalized medicine

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Area of Science:

  • Medical Imaging and Informatics
  • Computational Biology
  • Personalized Medicine

Background:

  • Digital twins are virtual replicas of physical systems, offering advanced simulation capabilities.
  • In radiology, digital twins of devices allow for virtual testing of design modifications.
  • Emerging technologies like AI and -omics enable patient-specific digital twins for dynamic health monitoring.

Purpose of the Study:

  • To explore the potential of digital twins in advancing personalized medicine within healthcare.
  • To highlight the role of digital twins in virtual clinical trials and population health studies.
  • To discuss the integration of digital twin technology into clinical practice and radiology.

Main Methods:

  • Development of virtual models for radiological devices to test design changes.
  • Creation of continuously adjustable patient-specific virtual models using AI and -omics data.
  • Accumulation of digital twin models from real-world data for large-scale studies.

Main Results:

  • Digital twins can improve personalized medicine through adjustable virtual patient models.
  • Large cohorts of digital patients can be generated for virtual clinical trials and population studies.
  • Digital twins promise to revolutionize disease detection and management.

Conclusions:

  • Digital twins are poised to become crucial in personalized medicine, transforming disease detection and management.
  • While challenges exist, digital twins represent a significant shift in healthcare operating models.
  • Radiologists are key to guiding the successful implementation of digital twin technology in healthcare.