Applications of Artificial Intelligence Techniques in Medical Image Processing

Dear Colleagues,

This Special Issue aims to explore the rapidly evolving role of AI technologies in transforming medical imaging. The integration of artificial intelligence, particularly machine learning and deep learning, into imaging workflows has opened new frontiers in disease detection, diagnosis, prognosis, and treatment planning across a wide range of clinical specialties.

This Special Issue welcomes original research, reviews, and case studies that cover AI methodologies developed for and applied to medical image acquisition, enhancement, segmentation, classification, interpretation, and multi-modal analysis. Contributions focusing on explainability, robustness, fairness, data efficiency, and clinical validation are highly encouraged.

We particularly invite submissions that demonstrate translational impact, such as AI systems deployed in real-world clinical environments or those addressing regulatory, ethical, and implementation challenges. Studies using imaging modalities like MRI, CT, X-ray, ultrasound, PET, and novel portable devices are all within this Special Issue’s scope.

By bringing together interdisciplinary efforts from engineering, computer science, and clinical practice, this Special Issue aims to provide a holistic view of how AI is reshaping medical imaging, from algorithmic innovation to improved patient outcomes.

Dr. Behdad Dasht Bozorg
Dr. Freija Geldof
Guest Editors

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