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Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
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[Radiomics-AI-based image analysis].

A Demircioğlu1

  • 1Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland. aydin.demircioglu@uk-essen.de.

Der Pathologe
|November 21, 2019
PubMed
Summary
This summary is machine-generated.

Radiomics, the statistical analysis of medical images, enhances diagnoses through collaboration between pathology and radiology. Artificial intelligence, particularly deep learning, will increasingly support clinicians, evolving their roles into information specialists.

Keywords:
Artificial intelligenceComputer-assisted radiographic image interpretationMachine learningPathologyRadiology

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Area of Science:

  • Radiology
  • Pathology
  • Medical Imaging Analysis

Background:

  • Radiomics involves the statistical analysis of radiologic image data.
  • The integration of artificial intelligence (AI), especially deep learning, is transforming medical diagnostics.

Purpose of the Study:

  • To introduce radiomics and its applications.
  • To demonstrate the synergistic potential of pathology and radiology for improved diagnostic accuracy.
  • To explore the future role of AI in clinical practice.

Main Methods:

  • Statistical analysis of radiologic image data.
  • Case study illustrating collaborative diagnostic approaches.
  • Review of AI and deep learning applications in medical imaging.

Main Results:

  • Radiomics provides a framework for extracting quantitative features from medical images.
  • Collaboration between pathology and radiology can lead to enhanced diagnostic outcomes.
  • AI is expected to initially function as specialized tools, gradually expanding its diagnostic capabilities.

Conclusions:

  • Radiomics and AI hold significant promise for advancing medical diagnostics.
  • The future of radiology and pathology involves a shift towards "information specialists" interpreting AI-generated data.
  • AI will augment, not replace, the roles of radiologists and pathologists in the long term.