Arpit Sikri¹* and Jyotsana Sikri²

¹Associate Professor and Post Graduate Teacher, Department of Prosthodontics, Crown and Bridge and Oral Implantology, Bhojia Dental College and Hospital, Himachal Pradesh, India
²Associate Professor and Post Graduate Teacher, Department of Conservative Dentistry and Endodontics, Bhojia Dental College and Hospital, Himachal Pradesh, India

*Corresponding Author: Arpit Sikri, Associate Professor and Post Graduate Teacher, Department of Prosthodontics, Crown and Bridge and Oral Implantology, Bhojia Dental College and Hospital, Himachal Pradesh, India.

Received: June 24, 2022; Published: August 01, 2022

Abstract

Artificial Intelligence (AI) is defined as the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. In other words, it is the simulation of human intelligence processes by machines, especially computer systems. These days, Artificial Intelligence (AI) is turning out to be more significant in the field of medicine as well as in dentistry. It tends to be useful in many fields where humans might be helped significantly by the new advancements. The various subtypes of artificial intelligence are machine learning, neural networks, and deep learning.

References

1. Kim EY., et al. “Predictive modeling of dental pain using neural network”. Studies in Health Technology and Informatics 146 (2009): 745-746.
2. Nieri M., et al. “Factors affecting the clinical approach to impacted maxillary canines: a bayesian network analysis”. American Journal of Orthodontics and Dentofacial Orthopedics 137 (2010): 755-762.
3. Kakilehto T., et al. “Data mining of clinical oral health documents for analysis of the longevity of different restorative materials in Finland”. International Journal of Medical Informatics 78 (2009): 68-74.
4. Łodygowski T., et al. “Optimization of dental implant using genetic algorithm”. Journal of Theoretical and Applied Mechanics 3 (2009): 573-598.
5. Li H., et al. “Computational and Mathematical Methods in Medicine”. The prediction in computer color matching of dentistry based on GA+BP neural network (2015).
6.  

Citation

Citation: Arpit Sikri and Jyotsana Sikri. “Artificial Intelligence in Dentistry". Acta Scientific Dental Sciences 6.6 (2022): 131-137.

Copyright

Copyright: © 2022 Arpit Sikri and Jyotsana Sikri. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.