Artificial intelligence (AI) and Deep Learning (DL) started to play an active
role in real-life problem solutions, and they have a rising trend across all medical
fields, including dentistry. Since there are advanced improvements in image
recognition techniques, a better radiological diagnose, prediction of the prognosis, and
clinical decision making with a reduced workload are becoming possible for
dentomaxillofacial radiologists. Promising results were obtained regarding dental caries
detection, periapical/periodontal lesion detection, anatomical landmark localization,
osteoporosis diagnosis, and implant dentistry; nonetheless, AI models do not substitute
for most of the conventional processes yet. Further studies should be done to verify the
feasibility and reliability of AI and DL applications in clinical practice.
This chapter focuses on artificial intelligence and machine learning applications in
dentomaxillofacial radiology.
Keywords: Artificial Intelligence, Dentomaxillofacial Radiology, Dental
Radiology, Dentistry, Decision-Making, Digital Dentistry, Diagnostic Systems,
Machine Learning.
