Artificial Intelligence in Medical Imaging: Driving Precision in Diagnosis

Dear Colleagues,

This Special Issue focuses on the accelerating role of Artificial Intelligence (AI) in medical imaging, where cutting-edge algorithms and data-driven models are redefining the standards of precision, speed, and reliability in diagnostic processes. From advanced image reconstruction and segmentation to deep learning-based detection and classification, AI is pushing the boundaries of what is possible in medical diagnostics, enabling earlier and more accurate identification of disease.

This Special Issue’s motivation is a commitment to scientific and technological excellence. However, we also recognize that the true impact of AI emerges when these innovations are effectively integrated into clinical workflows and healthcare systems. Such integration could streamline diagnostic pathways, support clinical decision-making, and address disparities in access to high-quality care, thus contributing not only to better outcomes for individual patients but also to more sustainable and efficient healthcare models.

We invite contributions that showcase technical advancements in AI for medical imaging, while also exploring their implications for real-world clinical practice. Submissions may include original research, comprehensive reviews, or interdisciplinary case studies that highlight both the scientific rigor and the transformative potential of AI in healthcare.

Dr. Jacopo Secco
Prof. Dr. Fernando Corinto
Guest Editors

Dr. Giorgia Marullo
Guest Editor Assistant

Manuscript Submission Information

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