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Radiomics analysis in medical imaging research
Mahmoud Elmahdy1,2, Ronnie Sebro1,2,3,4
1Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA.
Journal of Medical Radiation Sciences
|February 10, 2023
Summary
Radiomics in medical imaging offers a powerful approach to analyzing scans for coronavirus disease 2019 (COVID-19). This research explores building radiomic models to aid in combating the pandemic.
Area of Science:
- Radiology
- Medical Imaging
- Artificial Intelligence
Background:
- Radiomics extracts quantitative features from medical images.
- Current research focuses on applying radiomics to coronavirus disease 2019 (COVID-19) detection and management.
- Radiomic models can analyze imaging data to identify patterns associated with COVID-19.
Discussion:
- Discusses the methodology for constructing radiomic models.
- Highlights the potential of radiomics in understanding disease progression.
- Explores how radiomic features can supplement traditional diagnostic methods.
Key Insights:
- Radiomics provides a quantitative framework for medical image analysis.
- The development of radiomic models is crucial for leveraging imaging data against COVID-19.
- Radiomics can potentially improve diagnostic accuracy and treatment strategies for COVID-19.
Outlook:
- Future research directions in radiomics for infectious diseases.
- Integration of radiomics into clinical workflows for pandemic response.
- Advancements in machine learning for enhanced radiomic model performance.
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