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Advancements in healthcare technology have opened new avenues for early disease detection and prevention. This research presents a novel approach to the early detection of dental caries. Building upon earlier work, we employ a Convolutional Neural Networks model coupled with image processing techniques for real-time analysis of dental images captured using various sources. The system generates an output specifying the stages of tooth decay, which may serve as valuable tools for dental professionals in the future. This innovative approach not only empowers individuals to take charge of their oral health but also represents a significant step towards enhancing the efficiency and effectiveness of dental care. Through this research, we showcase the potential of technology to transform the landscape of oral health monitoring and contribute to the overall well-being of individuals.
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Randive et al. (2024) studied this question.
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