Dear Colleagues,

Maxillofacial diseases cover both odontogenic and nonodontogenic diseases in the jaws and related structures, including the salivary glands, temporomandibular joints (TMJs), and facial muscles. Due to the anatomical complexity and close proximity to critical vascular and neural structures of these areas, medical imaging (such as CT, ultrasound, MRI, and nuclear imaging) serves as a crucial component for patient management, from diagnosis, treatment planning and monitoring to outcome prediction.

In the era of artificial intelligence, a wide range of deep learning and radiomics applications have been developed based on medical images for the clinical management of various maxillofacial diseases.

This Special Issue aims to collect original studies, literature reviews, and meta-analyses on the advanced role of deep learning and radiomics in maxillofacial imaging. Exploring the potential of these cutting-edge technologies could improve patient care in the investigated field.

Dr. Qi-Yong Hemis Ai
Dr. Kuo Feng Hung
Guest Editors

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