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Artificial Intelligence in Dentistry—Narrative Review

Author

Listed:
  • Agata Ossowska

    (Department of Periodontology and Oral Mucosa Diseases, Medical University of Gdańsk, 80-204 Gdańsk, Poland)

  • Aida Kusiak

    (Department of Biostatistics and Neural Networks, Medical University of Gdańsk, 80-211 Gdańsk, Poland)

  • Dariusz Świetlik

    (Department of Biostatistics and Neural Networks, Medical University of Gdańsk, 80-211 Gdańsk, Poland)

Abstract

Nowadays, artificial intelligence (AI) is becoming more important in medicine and in dentistry. It can be helpful in many fields where the human may be assisted and helped by new technologies. Neural networks are a part of artificial intelligence, and are similar to the human brain in their work and can solve given problems and make fast decisions. This review shows that artificial intelligence and the use of neural networks has developed very rapidly in recent years, and it may be an ordinary tool in modern dentistry in the near future. The advantages of this process are better efficiency, accuracy, and time saving during the diagnosis and treatment planning. More research and improvements are needed in the use of neural networks in dentistry to put them into daily practice and to facilitate the work of the dentist.

Suggested Citation

  • Agata Ossowska & Aida Kusiak & Dariusz Świetlik, 2022. "Artificial Intelligence in Dentistry—Narrative Review," IJERPH, MDPI, vol. 19(6), pages 1-10, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3449-:d:771263
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    References listed on IDEAS

    as
    1. Xinxin Wang & Xiangyu Meng & Fangfei Li & Binchang Wang, 2022. "A Deep Learning Approach to Optimal Sampling Problems," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-7, June.
    2. Dariusz Świetlik & Jacek Białowąs, 2019. "Application of Artificial Neural Networks to Identify Alzheimer’s Disease Using Cerebral Perfusion SPECT Data," IJERPH, MDPI, vol. 16(7), pages 1-9, April.
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    Cited by:

    1. Dariusz Świetlik & Aida Kusiak & Agata Ossowska, 2022. "Computational Modeling of Therapy with the NMDA Antagonist in Neurodegenerative Disease: Information Theory in the Mechanism of Action of Memantine," IJERPH, MDPI, vol. 19(8), pages 1-12, April.

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    1. Dariusz Świetlik & Aida Kusiak & Agata Ossowska, 2022. "Computational Modeling of Therapy with the NMDA Antagonist in Neurodegenerative Disease: Information Theory in the Mechanism of Action of Memantine," IJERPH, MDPI, vol. 19(8), pages 1-12, April.

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