This special session aims to bring together researchers, practitioners, and experts to explore innovative applications of artificial intelligence (AI) in the domain of dental radiology. This session will provide a platform to discuss recent advancements, challenges, and breakthroughs at the intersection of AI and dental imaging, fostering collaboration and knowledge exchange.

The scope of this special session encompasses a wide range of topics related to the integration of AI techniques in dental radiology. Submissions are invited from, but not limited to, the following areas:

• Image Analysis and Interpretation: AI algorithms for segmentation and annotation of dental structures. Automated detection and classification of dental pathologies from radiographic images.
• Diagnostic Decision Support: Development of AI-based systems to aid clinicians in diagnosis and treatment planning. Integration of AI tools for accurate and timely detection of oral health issues.
• Deep Learning Applications: Exploration of deep neural networks for feature extraction and representation learning from dental radiographs. Transfer learning and domain adaptation techniques in the context of dental imaging.
• Integration with Clinical Workflows: Strategies for seamless integration of AI tools into routine dental practice. Workflow optimization and efficiency enhancement through AI-assisted diagnostic processes.
• Ethical and Regulatory Considerations: Discussions on ethical implications of AI applications in dental radiology. Compliance with regulatory standards and ensuring patient privacy and safety.
• Interdisciplinary Approaches: Collaborations between dental professionals, radiologists, and computer scientists for holistic solutions. Studies on the impact of AI on interdisciplinary communication and decision-making.

Organisers

• Dr. Haider RazaSchool of Computer Science and Electronics Engineering, University of Essex, UK.
• Dr. Akhilanada Chaurasia, Department of Oral Medicine and Radiology, Faculty of Dental Sciences, King George Medical University, Lucknow, India.
• Prof. John Q. Gan, School of Computer Science and Electronics Engineering, University of Essex, UK.

Keywords:

Dental Radiology, Diagnostic Imaging, Deep Learning, Oral Healthcare, Image Analysis, Dental Image Processing