Medical Imaging: Techniques, Applications, Impact and Innovations
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 94
Special Issue Editors
Interests: radiology; CT; biomedical imaging processing; MRI; X-ray; biomedical imaging
Special Issue Information
Dear Colleagues,
The rapid integration of artificial intelligence (AI) and bioengineering into radiology has opened transformative possibilities, from optimizing diagnostic accuracy to redefining standards for patient safety and accessibility. The full potential of these advances hinges on their responsible translation into clinical practice.
This Special Issue highlights cutting-edge research at the intersection of computational radiology, AI-driven medical imaging, and radiation protection, which seeks contributions that address critical challenges in:
- AI-powered medical image processing (e.g., reconstruction, segmentation, and artifact reduction);
- Radiation dose optimization and safety frameworks for diverse populations;
- Equitable technology deployment to bridge global disparities in imaging access;
- Quality assurance tools for robust and interpretable AI clinical integration.
We encourage contributions that showcase validated AI applications with clear pathways to clinical implementation, robust evaluation methodologies, and measurable improvements in diagnostic accuracy or patient outcomes. We invite original research and reviews that combine engineering innovation with clinical translation. By uniting perspectives from radiology and AI, this collection aims to accelerate the development of safer, more accessible, and ethically grounded imaging solutions for the future.
Dr. Lina Karout
Dr. Weiguo Li
Guest Editors
Manuscript Submission Information
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Keywords
- radiology
- CT
- biomedical imaging processing
- MRI
- X-ray
- biomedical imaging
- computational radiology
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