Acta Scientific Dental Sciences (ASDS)(ISSN: 2581-4893)

Short Communication Volume 6 Issue 2

Artificial Intelligence in Dental Medicine

Anita Mehta1*, Isham Mittal2 and Anushka Kakkar3

1Professor, Department of Periodontology and Implantology, Dasmesh Institute of Research and Dental Sciences, Affiliated with Baba Farid University of Health Sciences, Faridkot, Punjab, India
2Government Dental College, Amritsar, India
3Professor, Guru Gobind Singh Medical College, Affiliated with Baba Farid University of Health Sciences, Faridkot, Punjab, India

*Corresponding Author: Anita Mehta, Professor, Department of Periodontology and Implantology, Dasmesh Institute of Research and Dental Sciences, Affiliated with Baba Farid University of Health Sciences, Faridkot, Punjab, India.

Received: November 25, 2021; Published: January 07, 2022

Artificial intelligence means machines that perform and function work which are similar to those which are performed by humans. Artificial intelligence initially started after the Second World War and has great scepticism, interest and disinterest [1]. Recently, artificial intelligence due to advances in computer technology has attracted new attention. Machine learning is artificial intelligence which uses algorithms to know the patterns in data sets and so predict these patterns in other data. Deep learning is a part of machine learning that with its neural networks performs the functions of the human brain.

References

  1. Horgan J. “Will artificial intelligence ever live up to its hype?” Scientific American (2020).
  2. Schwendicke F., et al. “Artificial intelligence in dentistry: Chances and challenges”. Journal of Dental Research 7 (2020): 769-774.
  3. Ting DSW., et al. “Artificial intelligence and deep learning in ophthalmology”. British Journal of Ophthalmology 2 (2019): 167-175.
  4. Hosny A., et al. “Artificial intelligence in radiology”. Nature Reviews Cancer 8 (2018): 500-510.
  5. Yasaka K and Abe O. “Deep learning and artificial intelligence in radiology: Current applications and future directions”. PLOS Medicine 11 (2018): e1002707.
  6. Murphy K., et al. “Covid-19 on chest radiographs: A multireader evaluation of an artificial intelligence system”. Radiology3 (2020): E166-E72.
  7. Mintz Y and Brodie R. “Introduction to artificial intelligence in medicine”. Minimally Invasive Therapy and Allied Technologies 2 (2019): 73-81.
  8. Rajkomar A., et al. “Machine learning in medicine”. The New England Journal of Medicine 14 (2019): 1347-1358.
  9. Park WJ and Park JB. “History and application of artificial neural networks in dentistry”. European Journal of Dentistry4 (2018): 594-601.
  10. Machoy ME., et al. “The ways of using machine learning in dentistry”. Advances in Clinical and Experimental Medicine 3 (2020): 375-384.
  11. Endres MG., et al. “Development of a deep learning algorithm for periapical disease detection in dental radiographs”. Diagnostics (Basel)6 (2020).
  12. Hung K., et al. “The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review”. Dentomaxillofacial Radiology 1 (2020): 20190107.

Citation

Citation: Anita Mehta., et al. “Artificial Intelligence in Dental Medicine”. Acta Scientific Dental Sciences 6.2 (2022): 57-59.

Copyright

Copyright: © 2022 Anita Mehta., et al. 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.




Metrics

Acceptance rate30%
Acceptance to publication20-30 days
Impact Factor1.278

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