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In the past decades in spite of the wide use of fluoride caries remain the most common oral disease. The patterns of caries development though have changed over the years, to those with smaller lesion sizes and slower progression rates. These new characteristics of carious lesions magnify the limitations of caries detection through conventional diagnostic methods that involve subjective clinical criteria and conventional diagnostic tools. Also, the current approach in the management of dental caries has focused on the preservation of tooth structure and the promotion of oral health. Therefore, early detection of precavitated or early cavitated carious lesions is imperative for achieving it. The aim of this presentation is to discuss the challenges in the detection of early carious lesions with conventional means. Furthermore, to describe new artificial intelligence techniques implemented in an attempt to enhance the ability of the dentist to detect these lesions more accurately and to classify them accordingly so the appropriate preventive and/or surgical approach can be used. A glimpse of the future development of this new approach will be also discussed.
- Understand the problem of early carious lesion detection
- Understand the limitations of conventional techniques
- Discuss alternative techniques developed in the past decades
- Describe the new approach of the artificial intelligence (AI) techniques
- Describe the potential of the AI techniques in the future
Formal and didactic lecture, case studies and discussion.