AI Techniques Effective in Early Detection of Dental Caries
A new study has found that
detection of dental carries gets better with the use of Artificial Intelligence
(AI). It was found that Adaptive Dragonfly algorithm (DA) and Neural Network
(NN) classifiers were effective in early detection of carries. The use of AI in
medical image processing can help in early detection of caries and prevention
of tooth decay.
Dental caries or tooth decay happens due to the action of micro-organisms. If gone undetected it can lead to infection of pulp tissue inflammation. Dental mirrors and Dental radiographs or X-rays are suitable for diagnosis when the caries have grown large but it cannot detect hidden or early level decay. This is because the outer surface is not affected in the initial stages.
The researchers Shashikant Patil, Vaishali Kulkarni and Archana Bishe have concluded that use of an algorithmic analysis in caries detection has helped in accurate detection of decay in tooth cavities. The use of NN classifier and DA in image processing in two phases-feature extraction and classification helped in accurate detection of early stage caries.
Illustration: Mohamed Hassan, Pixabay.com