Advancements in 3D Imaging Technologies in Dental and Maxillofacial Radiology: Review

Abstract

Background: The rapid evolution of 3D imaging technologies has significantly impacted dental and maxillofacial radiology, enhancing diagnostic accuracy and treatment planning. This review explores the integration of technologies such as artificial intelligence (AI), virtual reality (VR), and augmented reality (AR) in dental practices.

Methods: A comprehensive literature review was conducted, focusing on recent advancements in 3D imaging applications within dental and maxillofacial radiology. Peer-reviewed articles and clinical studies were analyzed to assess the effectiveness and clinical relevance of these technologies.

Results: The findings indicate that 3D imaging technologies, particularly those enhanced by AI, have improved diagnostic precision in detecting dental anomalies, fractures, and pathologies. For instance, AI algorithms have demonstrated high accuracy in analyzing dental radiographs and cone-beam computed tomography (CBCT) scans. Additionally, VR and AR technologies have been successfully employed for patient education, surgical training, and treatment simulation, which have proven effective in reducing patient anxiety and improving clinical outcomes.

Conclusion: The integration of advanced 3D imaging technologies into dental and maxillofacial radiology signifies a transformative shift in clinical practice. These innovations enhance healthcare delivery by improving diagnostic capabilities, facilitating effective treatment planning, and enhancing the educational experience for both practitioners and patients. Future research should focus on addressing the challenges of data integration, algorithm transparency, and cost-effectiveness to maximize the benefits of these technologies in dental care.