Abstract :
Dental radiology has historically relied on 2-dimensional (2D) imaging, but recent advancements in Cone-Beam Computed Tomography (CBCT) have revolutionized maxillofacial imaging. This review explores the applications of CBCT, emphasizing its advantages in dental specialties such as implant dentistry, endodontics, orthodontics, and temporomandibular joint evaluation. CBCT offers unparalleled diagnostic accuracy while minimizing radiation exposure, making it a valuable tool in dental practice. The integration of artificial intelligence (AI) and machine learning into CBCT technology presents exciting possibilities for automated image analysis, pathology detection, treatment planning, radiation dose reduction, image enhancement, workflow optimization, predictive analytics, customized treatment plans, teledentistry, and dental education. AI's role in dentistry is poised to enhance diagnostic and treatment capabilities while optimizing CBCT scans, ultimately improving patient care.
Keyword :
Dental radiology, ConeBeam Computed Tomography (CBCT), Artificial Intelligence, Diagnostic accuracy, Radiation exposure