Guest Column: The Eight Billion Opportunity!  |  Finance: Covidonomics   |  Parent Interventions: Enrichment programmes help children build knowledge  |  Parent Interventions: Half of moms-to-be at risk of preeclampsia are missing out on preventive aspirin  |  Parent Interventions: First month of data shows children at low risk of COVID-19 infection  |  Teacher Insights: First-generation learners being left behind in global education  |  Teacher Insights: Deep learning: A new engine for ecological resource research  |  Parent Interventions: Study compares the health of Irish children to those across Europe and Canada  |  Policy Indications: MHRD ensures safe shifting of stranded students of Jawahar Navodaya Vidyalayas  |  National Edu News: RNA extraction kit Agappe Chitra Magna launched commercially  |  National Edu News: Certifying Quantum Entanglement: A step towards Quantum Security  |  Leadership Instincts: IIT Guwahati discovers new ways to prevent memory loss due to Alzheimer  |  Teacher Insights: 82 UG and 42 PG Non-Engineering MOOCs to be offered on SWAYAM  |  International Edu News: Handwashing 6-10 times a day linked to lower infection risk  |  Leadership Instincts: Bristol’s photon discovery, a major step toward large-scale quantum technologies  |  
May 28, 2019 Tuesday 12:35:23 AM IST

AI Techniques Effective in Early Detection of Dental Caries

Technology Inceptions

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.


 Source: https://www.heliyon.com/article/e01579/

Illustration: Mohamed Hassan, Pixabay.com

 




Comments