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Related Concept Videos

X-ray Imaging01:24

X-ray Imaging

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 X-rays, and by 1900, X-ray was widely...
Radiological Investigation I: X-ray and CT01:30

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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...
Positron Emission Tomography01:29

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...

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Related Experiment Video

Updated: May 14, 2026

Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics

Published on: January 8, 2018

RadEx: A Framework for Structured Information Extraction from Radiology Reports Based on Large Language Models.

Daniel Reichenpfader1,2, Jonas Knupp3, André Sander3

  • 1Bern University of Applied Sciences, Institute for Patient-centered Digital Health, Biel/Bienne, Switzerland.

Studies in Health Technology and Informatics
|May 12, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces RadEx, a framework for extracting structured information from radiology reports. RadEx addresses challenges in adopting structured reporting, improving data analysis and clinical applications.

Keywords:
Clinical Information ExtractionCommon Data ElementsLarge Language ModelNatural Language ProcessingSoftware ArchitectureTemplate Filling

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Area of Science:

  • Medical Informatics
  • Natural Language Processing
  • Radiology

Background:

  • Radiology reports are predominantly unstructured free text, hindering advanced data applications.
  • Low adoption of structured reporting stems from workflow integration, resource limitations, and perceived information loss.

Purpose of the Study:

  • To present RadEx, an end-to-end framework for structured information extraction from radiology reports.
  • To facilitate the transition to structured reporting by addressing current barriers.

Main Methods:

  • RadEx comprises 15 software components and 10 artifacts, covering data annotation to extraction.
  • The framework supports both generative and encoder-based models, decoupling template filling from inference.
  • Clinicians can define domain-specific information and create custom report templates.

Main Results:

  • RadEx provides a comprehensive solution for structured information extraction.
  • The modular design and standardized artifacts enhance implementation, maintenance, and interoperability.
  • Enables flexible model updates and supports diverse clinical needs.

Conclusions:

  • RadEx offers a robust solution to overcome barriers in structured radiology reporting.
  • The framework promotes enhanced data utilization for improved clinical decision-making and research.
  • Facilitates interoperability and adaptability in radiology information systems.