National Edu News: 71st RRT Conference International on Appropriate Pedagogy of the Digital Natives  |  Guest Column: Collaboration + Research = Global Solutions   |  Teacher Insights: How Digital Technology Helps in Growth and Access to Quality Education  |  Management lessons: How Brands Use CARE to Stay on Top in Instagram  |  Hobbies &Trends: At Full Throttle  |  Finance: Bitcoin Mobile Apps Vulnerable to Security Threats: Guan-Hua Tu, MSU  |  International Edu News: Use plants' ability to tell the time to make food production more sustainable  |  International Edu News: Scientists develop new class of cancer drug with potential to treat leukaemia  |  International Edu News: Loan applications processed around midday more likely to be rejected  |  International Edu News: Researchers find climate change impacts plankton – a key marine food source  |  International Edu News: Nature must be a partner, not just a provider of services – Oxford report  |  National Edu News: Approval to MoU between India and UK on Global Innovation Partnership  |  National Edu News: Transfer of CSIR-CMERI technologies to three MSMEs  |  Parent Interventions: Child Learning Programs: How to Find the Right One for You  |  Rajagiri Round Table: Fitness Challenge for the Nation  |  
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