Artificial Intelligence in Dentistry

Authors

  • Neil Wood

Keywords:

acquisition, prognostication

Abstract

The development and progression in artificial intelligence has been rapid over the past decade. The expansion of artificial intelligence applications into areas that were previously thought exclusive to human control and expertise is now a measurable phenomenon. This is largely facilitated by rapid advances in data acquisition and consumption, machine learning, and computing infrastructure improvements. The intention to introduce artificial intelligence applications into medicine and dentistry currently centers around
patient care improvement, specifically to diagnostic capacity and prognostication, and to assist by providing tools for advanced decision making and even for treating patients remotely. This is an extremely complex field with close working relationships between various clinicians, researchers, and engineers.

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References

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; 7:17

Chen Y, Stanley K, Att W. Artificial intelligence in dentistry: current applications and future perspectives. Quintessence Int 2020; 51:248-257

Krois J, Samek W, Schwendicke F. Artificial intelligence n dentistry: chances and challenges. J Dent Res 2020; 99:769-774.

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Published

2022-06-22

How to Cite

Wood, N. (2022). Artificial Intelligence in Dentistry. South African Dental Journal, 77(04), 187. Retrieved from https://journals.assaf.org.za/index.php/sadj/article/view/14071

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