Alexander Maniangat Luke
Maxillofacial radiology is experiencing transformative innovation through artificial intelligence, 3D imaging, virtual/augmented reality, and radiation-free modalities. This presentation synthesizes current evidence demonstrating how imaging science drives precision diagnostics and personalized treatment in contemporary dentistry. This presentation focusses on five transformative domains in imaging science: (1) Artificial Intelligence and Deep Learning - Clinical validation studies demonstrate improvements in CBCT diagnostic accuracy, with AI-based segmentation achieving expert-level performance and time reduction compared to manual methods. (2) Radiomics - Quantitative feature extraction from imaging provides prognostic biomarkers in oral squamous cell carcinoma, outperforming traditional TNM staging and genomic signatures, with particular value in small-dataset applications. (3) 3D Imaging and Surgical Planning - CBCT-based implant planning eliminates surgical abortions, while demonstrating comparable diagnostic accuracy to CT and MRI for bone invasion assessment Low-dose CBCT protocols maintain measurement accuracy while supporting ALARA principles. (4) Virtual and Augmented Reality - Systematic evidence confirms significant educational benefits and enhanced clinical precision in implant placement, endodontic access, and surgical navigation. (5) Magnetic Resonance Imaging - The world's first dental-dedicated MRI system enables radiation-free imaging with clinical applications across orthodontics, endodontics, TMJ assessment, and pre-surgical planning. Case-based integration demonstrates multi-modal workflows achieving 40% planning efficiency improvement and <1mm surgical accuracy. The convergence of these technologies marks a paradigm shift toward evidence-based, patient-centered precision dentistry, where imaging science leads innovation while maintaining rigorous validation, ethical frameworks, and clinical judgment as fundamental principles. The future of maxillofacial radiology lies not in technology replacement of clinical judgment, but in intelligent augmentation empowering clinicians with unprecedented diagnostic and therapeutic capabilities while maintaining patient safety and equity as paramount principles.