Artificial Intelligence (AI) and Deep Learning (DL) in Medical Imaging
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nuclear Medicine & Radiology".
Deadline for manuscript submissions: 20 January 2026 | Viewed by 47
Special Issue Editor
Interests: artificial intelligence; oncologic imaging; chest imaging; muscoloskeletal imaging; abdominal imaging
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) and Deep Learning (DL) are transforming medical imaging, enabling more accurate diagnoses, improved disease detection, and enhanced workflow efficiency. This Special Issue aims to explore the latest advancements, applications, and challenges in AI-driven medical imaging, with particular attention given to the development and validation of novel approaches and diagnostic models across diverse imaging settings, as well as their clinical and practical implications. Despite significant progress, core challenges, such as data scarcity, model interpretability, and integration into clinical workflows, remain critical.
This Special Issue welcomes original research and reviews on AI methodologies applied to medical imaging tasks such as diagnostic and histological classification, anomaly detection, and radiomics. Submissions that provide insights into translational applications—from experimental models to real-world clinical practice, as well as those exploring AI-based clinical decision support systems—are particularly valued.
We invite researchers, clinicians, and AI experts to contribute their latest findings, fostering interdisciplinary collaboration and innovation. By bringing together cutting-edge research, this Special Issue seeks to accelerate AI adoption in medical imaging and improve patient care.
Dr. Francesco Pucciarelli
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- deep learning
- imaging
- diagnosis
- precision medicine
- oncologic
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