Artificial Intelligence in Dentistry-Narrative Review

doi:10.3390/ijerph19063449

Review

. 2022 Mar 15;19(6):3449.

doi: 10.3390/ijerph19063449.

Artificial Intelligence in Dentistry-Narrative Review

Agata Ossowska¹, Aida Kusiak², Dariusz Świetlik²

Affiliations

¹ Department of Periodontology and Oral Mucosa Diseases, Medical University of Gdańsk, 80-204 Gdańsk, Poland.
² Department of Biostatistics and Neural Networks, Medical University of Gdańsk, 80-211 Gdańsk, Poland.

PMID: 35329136
PMCID: PMC8950565
DOI: 10.3390/ijerph19063449

Review

Artificial Intelligence in Dentistry-Narrative Review

Agata Ossowska et al. Int J Environ Res Public Health. 2022.

. 2022 Mar 15;19(6):3449.

doi: 10.3390/ijerph19063449.

Authors

Agata Ossowska¹, Aida Kusiak², Dariusz Świetlik²

Affiliations

¹ Department of Periodontology and Oral Mucosa Diseases, Medical University of Gdańsk, 80-204 Gdańsk, Poland.
² Department of Biostatistics and Neural Networks, Medical University of Gdańsk, 80-211 Gdańsk, Poland.

PMID: 35329136
PMCID: PMC8950565
DOI: 10.3390/ijerph19063449

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.

Keywords: artificial intelligence; dentistry; neural networks.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Cited by

Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives.
Fatima A, Shafi I, Afzal H, Díez IT, Lourdes DRM, Breñosa J, Espinosa JCM, Ashraf I. Fatima A, et al. Healthcare (Basel). 2022 Oct 31;10(11):2188. doi: 10.3390/healthcare10112188. Healthcare (Basel). 2022. PMID: 36360529 Free PMC article.
A Novel Deep Learning-Based Approach for Segmentation of Different Type Caries Lesions on Panoramic Radiographs.
Dayı B, Üzen H, Çiçek İB, Duman ŞB. Dayı B, et al. Diagnostics (Basel). 2023 Jan 5;13(2):202. doi: 10.3390/diagnostics13020202. Diagnostics (Basel). 2023. PMID: 36673010 Free PMC article.
Artificial Intelligence Techniques for Automatic Detection of Peri-implant Marginal Bone Remodeling in Intraoral Radiographs.
Vera M, Gómez-Silva MJ, Vera V, López-González CI, Aliaga I, Gascó E, Vera-González V, Pedrera-Canal M, Besada-Portas E, Pajares G. Vera M, et al. J Digit Imaging. 2023 Oct;36(5):2259-2277. doi: 10.1007/s10278-023-00880-3. Epub 2023 Jul 19. J Digit Imaging. 2023. PMID: 37468696 Free PMC article.
ChatGPT and its use in paediatric dentistry.
Maltarollo TFH, Shitsuka C, Sivieri-Araújo G. Maltarollo TFH, et al. Eur Arch Paediatr Dent. 2023 Oct;24(5):675-676. doi: 10.1007/s40368-023-00838-7. Epub 2023 Sep 5. Eur Arch Paediatr Dent. 2023. PMID: 37668870 No abstract available.
A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health.
Shafi I, Fatima A, Afzal H, Díez IT, Lipari V, Breñosa J, Ashraf I. Shafi I, et al. Diagnostics (Basel). 2023 Jun 28;13(13):2196. doi: 10.3390/diagnostics13132196. Diagnostics (Basel). 2023. PMID: 37443594 Free PMC article. Review.

See all "Cited by" articles

References

1. Khanagar S.B., Al-Ehaideb A., Maganur P.C., Vishwanathaiah S., Patil S., Baeshen H.A., Sarode S.C., Bhandi S. Developments, application, and performance of artificial intelligence in dentistry—A systematic review. J. Dent. Sci. 2021;16:508–522. doi: 10.1016/j.jds.2020.06.019. - DOI - PMC - PubMed
1. Mupparapu M., Wu C.W., Chen Y.C. Artificial intelligence, machine learning, neural networks, and deep learning: Futuristic concepts for new dental diagnosis. Quintessence Int. 2018;49:687–688. doi: 10.3290/j.qi.a41107. - DOI - PubMed
1. Javed S., Zakirulla M., Baig R.U., Asif S., Meer A.B. Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries. Comput. Methods Programs Biomed. 2020;186:105198. doi: 10.1016/j.cmpb.2019.105198. - DOI - PubMed
1. Hamet P., Tremblay J. Artificial intelligence in medicine. Metabolism. 2017;69:S36–S40. doi: 10.1016/j.metabol.2017.01.011. - DOI - PubMed
1. Schwendicke F., Samek W., Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J. Dent. Res. 2020;99:769–774. doi: 10.1177/0022034520915714. - DOI - PMC - PubMed

Publication types

Actions

MeSH terms

Actions
Actions
Actions
Actions
Actions
Actions

LinkOut - more resources

Full Text Sources

[1] Khanagar S.B., Al-Ehaideb A., Maganur P.C., Vishwanathaiah S., Patil S., Baeshen H.A., Sarode S.C., Bhandi S. Developments, application, and performance of artificial intelligence in dentistry—A systematic review. J. Dent. Sci. 2021;16:508–522. doi: 10.1016/j.jds.2020.06.019. - DOI - PMC - PubMed

[2] Khanagar S.B., Al-Ehaideb A., Maganur P.C., Vishwanathaiah S., Patil S., Baeshen H.A., Sarode S.C., Bhandi S. Developments, application, and performance of artificial intelligence in dentistry—A systematic review. J. Dent. Sci. 2021;16:508–522. doi: 10.1016/j.jds.2020.06.019. - DOI - PMC - PubMed

[3] Mupparapu M., Wu C.W., Chen Y.C. Artificial intelligence, machine learning, neural networks, and deep learning: Futuristic concepts for new dental diagnosis. Quintessence Int. 2018;49:687–688. doi: 10.3290/j.qi.a41107. - DOI - PubMed

[4] Mupparapu M., Wu C.W., Chen Y.C. Artificial intelligence, machine learning, neural networks, and deep learning: Futuristic concepts for new dental diagnosis. Quintessence Int. 2018;49:687–688. doi: 10.3290/j.qi.a41107. - DOI - PubMed

[5] Javed S., Zakirulla M., Baig R.U., Asif S., Meer A.B. Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries. Comput. Methods Programs Biomed. 2020;186:105198. doi: 10.1016/j.cmpb.2019.105198. - DOI - PubMed

[6] Javed S., Zakirulla M., Baig R.U., Asif S., Meer A.B. Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries. Comput. Methods Programs Biomed. 2020;186:105198. doi: 10.1016/j.cmpb.2019.105198. - DOI - PubMed

[7] Hamet P., Tremblay J. Artificial intelligence in medicine. Metabolism. 2017;69:S36–S40. doi: 10.1016/j.metabol.2017.01.011. - DOI - PubMed

[8] Hamet P., Tremblay J. Artificial intelligence in medicine. Metabolism. 2017;69:S36–S40. doi: 10.1016/j.metabol.2017.01.011. - DOI - PubMed

[9] Schwendicke F., Samek W., Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J. Dent. Res. 2020;99:769–774. doi: 10.1177/0022034520915714. - DOI - PMC - PubMed

[10] Schwendicke F., Samek W., Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J. Dent. Res. 2020;99:769–774. doi: 10.1177/0022034520915714. - DOI - PMC - PubMed

Save citation to file

Email citation

Add to Collections

Add to My Bibliography

Your saved search

Create a file for external citation management software

Your RSS Feed

Artificial Intelligence in Dentistry-Narrative Review

Affiliations

Artificial Intelligence in Dentistry-Narrative Review

Authors

Affiliations

Abstract

Conflict of interest statement

Similar articles

Cited by

References

Publication types

MeSH terms

LinkOut - more resources

Full Text Sources