Review Article
Author Details :
Volume : 9, Issue : 4, Year : 2023
Article Page : 247-250
https://doi.org/10.18231/j.ijohd.2023.047
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.
Keywords: Artificial intelligence, Dentistry, Diagnosis, Oral diseases.
How to cite : Yadav P, Asdullah M, Gupta J, Khan M H, Enhancing dental care through artificial intelligence: A comprehensive overview. Int J Oral Health Dent 2023;9(4):247-250
This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
Received : 07-12-2023
Accepted : 12-12-2023
Viewed: 1107
PDF Downloaded: 270