Enhancing dental care through artificial intelligence: A comprehensive overview

Author:

Yadav Pramod1ORCID,Asdullah Md.1ORCID,Gupta Juhi1ORCID,Khan Masood Hasan1

Affiliation:

1. Dr. Z A Dental College, Aligarh, Uttar Pradesh, India

Abstract

Artificial intelligence (AI) in dentistry is poised to alter a number of aspects of the industry, marking a paradigm shift of profound significance. Dental diagnostic procedures are being streamlined and optimized with the use of artificial intelligence technologies. Machine learning algorithms have demonstrated exceptional competence in the early identification of dental disorders, including cavities, periodontal diseases, and structural abnormalities in teeth, thanks to their extensive training on large datasets of dental pictures. These developments make it easier to intervene quickly, which enhances patient outcomes and lessens the strain on healthcare systems.Furthermore, tailored care and AI-driven treatment planning have become important areas of innovation. AI algorithms assist in the creation of customized treatment plans by analysing patient data, including genetic predispositions and medical histories. The application of AI extends beyond diagnostics and treatment planning to optimize administrative tasks within dental practices. Automated appointment scheduling, billing processes, and electronic health record management systems powered by AI technologies contribute to increased operational efficiency, allowing dental professionals to focus more on patient care.Combining human knowledge with AI skills has the potential to completely change the dental care industry by offering more precise diagnosis, individualized treatment plans, and enhanced patient experiences all around. As AI develops, its application to dentistry serves as a shining example of advancement, bringing about a new era in oral healthcare marked by increased accessibility, efficiency, and precision.

Publisher

IP Innovative Publication Pvt Ltd

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference17 articles.

1. Bernabe E, Marcenes W, Hernandez CR, Bailey J, Abreu LG, Alipour V, Global, Regional, and National Levels and Trends in Burden of Oral Conditions from 1990 to 2017: A Systematic Analysis for the Global Burden of Disease 2017 Study.J Dent Res 2020;99(4):362-73

2. Global oral health status report: towards universal health coverage for oral health by 2030..

3. Keenan JR, Keenan AV, Accuracy of dental radiographs for caries detection.Evid Based Dent 2016;17(2):43

4. Fourcade A, Khonsari RH, Deep learning in medical image analysis: a third eye for doctors.J Stomatol Oral Maxillofac Surg 2019;120(4):279-88

5. Nguyen TT, Larrivée N, Lee A, Bilaniuk O, Durand R, Use of artificial intelligence in dentistry: current clinical trends and research advances.J Can Dent Assoc 2021;87:17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3