Deep Learning and Artificial Intelligence Applications in Dentomaxillofacial Radiology
- Authors: Gürkan Ünsal1, Kaan Orhan2
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View Affiliations Hide Affiliations1 Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Near East University, Nicosia/TRNC, Mersin 10, Turkey 2 Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara University, Ankara, Turkey
- Source: Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare , pp 124-138
- Publication Date: November 2021
- Language: English
Deep Learning and Artificial Intelligence Applications in Dentomaxillofacial Radiology, Page 1 of 1
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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.
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