International Journal of Neural Networks and Advanced Applications


ISSN: 2313-0563
Volume 6, 2019

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 6, 2019


Title of the Paper: Use of Artificial Intelligence Techniques to Determine Dental Caries: A Systematic Review

 

Authors: Romany F. Mansour, Abdulsamad Al-Marghilnai, Zahar A. Hagas

Pages: 1-11

Abstract: Background: Dental caries is a chronic pathological condition affecting an estimated 36% of global population in their permanent teeth. It is characterized by demineralization of hydroxyapatite crystals and destruction of collagen matter in dental tissues. Various conventional methods for early detection of dental caries are used by dentists all over the world, such as Visible Light- Enhanced Techniques, Electronic Conductance Measurements, Electrical Impedance Spectroscopy, Digital radiography, Laser Fluorescence System and Ultrasound Caries Detector. However, the shortcomings of these techniques alarms the need to adopt a better method for early detection of caries. Objective: The present study provides a systematic review of accuracy to use Raman spectroscopy as a method for caries detection at an early stage. Absence of sample penetration makes the method simple and hence is widely used. Methodology: Significant information related to Raman spectroscopy has been extracted and utilized in the presentation of systematic review paper. Various parameters have been taken into account, such as type of Raman spectroscopy, central wavelength, optical power, description of the system, scan rate, description of Raman micro-spectroscopy, Raman imaging, Raman peak, Peak intensities of laser polarization direction, Depolarization ratio and polarization anisotropy. Results and Discussion: The different research studies use varied system and central wavelength range that affects the result of each one of them. However, studies by M.T. Kirchner, et.al.(1997), Alex C.-T. Ko, et.al. (2006) and Alex C.-T. Ko, et.al. (2008) indicated maximum number Raman peak intensities corresponding to different functional groups, providing more information than other studies.