Deep Learning Concept for Early Dental Caries Detection
Author: Sunil Babu Kotha
Category: Pediatric Dentistry
Abstract:
Identifying dental caries in a dental operatory can be challenging for pediatric dentists at times because of the fluctuating features of the lesions based on their developmental stage. Thus, pediatric dentists can suggest specific and unique treatment methods. Noninvasive interventions, such as fluoride therapy and sugar control, can successfully reverse and treat early aberrations, sometimes referred to as white spots. Dental cavities, on the other hand, lead to tooth structure deterioration and require restorative treatments of varying levels of difficulty, depending on the extent and severity of the damage that leads to the extraction of the tooth itself. These necessitate new concepts for detecting dental caries in children. The prospective review's objective was to determine the necessity of applying deep learning and contemporary principles in the diagnosis of early childhood caries.
Keywords: Deep learning, early childhood caries, children, pediatric dentist
