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Radiomics with artificial intelligence: a practical guide for beginners.

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Radiomics and artificial intelligence (AI) extract quantitative data from medical images for decision support. Radiologists should embrace these technologies for future clinical practice.

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Area of Science:

  • Radiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Radiomics involves extracting numerous quantitative features from medical images.
  • Artificial intelligence (AI) utilizes computational algorithms to identify patterns in data for predictions.
  • Radiomics and AI are increasingly integrated due to AI's capacity for handling large datasets.

Purpose of the Study:

  • Familiarize radiologists with radiomics and AI.
  • Encourage radiologist engagement in these evolving fields.
  • Provide recommendations for best practices in radiomics and AI research.

Main Methods:

  • Review of radiomics principles and AI methodologies.
  • Discussion of the synergy between radiomics and AI in medical imaging.
  • Analysis of current trends and future implications for radiology.

Main Results:

  • Radiomics and AI offer powerful tools for extracting meaningful quantitative data from medical images.
  • The combination of radiomics and AI enhances decision support in radiology.
  • Successful integration of these technologies is crucial for future clinical practice.

Conclusions:

  • Radiologists must become proficient in radiomics and AI, despite potential anxieties about automation.
  • Collaboration between human expertise and machine intelligence is inevitable in the future of radiology.
  • Adherence to best practices will ensure the responsible development and application of radiomics and AI.