Transforming the Landscape of Advanced Dentistry: Incorporating Intelligence Augmentation (IA) and Artificial Intelligence (AI) to Propel Progress-A Narrative Review.

Year : 2025 | Volume : 16 | Issue : 02 | Page : 23 29
    By

    Danish Saud Khan,

  • Salman Saud Khan,

  • Tarek Abd Elkader,

  • Mohamed A. Saydeen,

  • Omayma M. Attalla,

  • Sakinah Ruhi,

  • Sohayla M. Attalla,

  1. Student, Department of Dental Surgery Panineeya Institute of Dental Science & Research Centre, Kaloji Narayana Rao (KNR) University of Health Sciences, Warangal, Telangana, India
  2. Student, Department of Dental Surgery Sri Sai College of Dental Surgery, Dr.N.T.R University of Health Sciences, Vijayawada, Andhra Pradesh, India
  3. Faculty of Dentistry, Department of Dentistry, Galala University, Egypt. Galala Plateau , Attaka, Suez, Egypt
  4. Faculty of Pharmacy, Department of Pharmacy, Delta University, Egypt International Coastal Road, Jamasah, Al Daqahliyah, Egypt
  5. Researcher, Department of Emergency Medicine, Emergency Hospital, Mansoura University, Mansoura, Egypt
  6. Researcher, Department of Medicine, International Medical School,, Management and Science University, Malaysia
  7. Professor, Department of Forensic Medicine, International Medical School, Management and Science University, Malaysia

Abstract

Digitization is about to transform most sectors, and it is important to comprehend its role and socio-economic consequences. One of the infected sectors is dentistry and this article genericizes AI and IA in dentistry. It analyzes the advancement of AI and IA to supersede human capabilities using a comparative analysis of these technologies with current deployment. One of the challenges is to attain sufficient data input for AI and the other is the integration of AI into routine medical practice. There are also questions about liability and deployment costs that are unanswered. This study provides an outlook on the future dentistry in terms of what would be the interaction between robots and humans, and the influence of Artificial Intelligence (AI) and Intelligence Augmentation (IA) in the sector. The paper as a whole give’s insights into the challenges and possible advantages of making use of AI and IA in dentistry.

Keywords: Dentistry, Artificial Intelligence, Intelligence Augmentation, Digital Transformation, Medical Practice Integration, Healthcare Technology

[This article belongs to Research and Reviews: A Journal of Dentistry ]

How to cite this article:
Danish Saud Khan, Salman Saud Khan, Tarek Abd Elkader, Mohamed A. Saydeen, Omayma M. Attalla, Sakinah Ruhi, Sohayla M. Attalla. Transforming the Landscape of Advanced Dentistry: Incorporating Intelligence Augmentation (IA) and Artificial Intelligence (AI) to Propel Progress-A Narrative Review.. Research and Reviews: A Journal of Dentistry. 2025; 16(02):23-29.
How to cite this URL:
Danish Saud Khan, Salman Saud Khan, Tarek Abd Elkader, Mohamed A. Saydeen, Omayma M. Attalla, Sakinah Ruhi, Sohayla M. Attalla. Transforming the Landscape of Advanced Dentistry: Incorporating Intelligence Augmentation (IA) and Artificial Intelligence (AI) to Propel Progress-A Narrative Review.. Research and Reviews: A Journal of Dentistry. 2025; 16(02):23-29. Available from: https://journals.stmjournals.com/rrjod/article=2025/view=209538


References

  1. Petersen PE. The World Oral Health Report 2003: continuous improvement of oral health in the 21st century–the approach of the WHO Global Oral Health Programme. Community Dent Oral Epidemiol. 2003 Dec: 31(s1):3-23. doi: 10.1046/j..2003.com122.x. PMID: 15015752.
  2. Petropoulos, V.C. Evolution of dental technology: A brief history. J. Prosthet. Dent. 2006, 96, 71–78. https://doi.org/10.1016/j.prosdent.2006.05.001.
  3. Haddadi, A.; Kumar, P. Internet of Things (IoT) in Dentistry: A Comprehensive Review. IoT 2021, 2, 510–523. https://doi.org/10.3390/iot2030026
  4. Al-Rawi NH, Noori AJ, Abdullah AS. Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM) and Three-Dimensional Printing in Dentistry: A Comprehensive Overview. J Clin Med. 2019 Oct 19;8(10):1707. doi: 10.3390/jcm8101707. PMID: 31635004; PMCID: PMC6832350.
  5. McCarty, “A proposal for the Dartmouth Summer Research Project on artificial intelligence,” AI magazine, vol. 27, no. 4, pp. 12-14, 2006.
  6. Iqbal et al., “Artificial Intelligence, Intelligence Augmentation, and Machine Learning in Dentistry: Current Advances and Challenges,” Healthcare, vol. 9, no. 4, p. 421, 2021.
  7. Hameed, A., Ahmed, A., & Khurshid, Z. (2022). Artificial intelligence in dentistry: Current status, opportunities, and challenges. Journal of Dental Sciences, 17(1), 12-19. doi: 10.1016/j.jds.2021.08.007
  8. Kim RJ, Park JM. Digital Impression Systems in Dentistry: A Review. J Prosthodont Res. 2018 Jul;62(3):152-161. doi: 10.1016/j.jpor.2018.01.001. Epub 2018 Mar 7. PMID: 29525272.
  9. Fasbinder DJ. Clinical Performance of Chairside CAD/CAM Restorations. J Am Dent Assoc. 2006 Sep;137 Suppl:22S-31S. doi: 10.14219/jada.archive.2006.0356. PMID: 16958277.
  10. Gherlone EF, Capparé P, Vinci R, Ferrini F. The Use of Intraoral Scanners in Dental Implantology: A Review. Int J Environ Res Public Health. 2018 Mar 5;15(3):453. doi: 10.3390/ijerph15030453. PMID: 29510581; PMCID: PMC5876961.
  11. Huang F, Huang Y, Yang X, et al. A novel patient-specific endodontic treatment planning system based on CBCT and automatic segmentation techniques. Int J Comput Assist Radiol Surg. 2020;15(7):1241-1254. doi:10.1007/s11548-020-02234-y
  12. Colaco AS, Chandra S. The Role of Artificial Intelligence and Machine Learning in Orthodontics. J Clin Orthod. 2021;55(2):103-107. PMID: 34087424.
  13. Shimizu K, Nakamura Y, Yoshida K, Sasaki K. Automated detection of dental caries in occlusal radiographs using convolutional neural networks. Sci Rep. 2021;11(1):540. doi:10.1038/s41598-020-80066-w
  14. Elsharawy et al., “Deep Learning in Dentistry: A Systematic Review of the Literature,” J Dent Res, vol. 100, no. 1, pp. 23-32, 2021.
  15. S. Bhatia et al., “Encryption Techniques in Telemedicine and e-Health: A Review,” J Med Syst, vol. 42, no. 5, pp. 86, 2018.
  16. H. Yang et al., “Privacy and Security in Mobile Health (mHealth) Research,” J Med Syst, vol. 41, no. 8, pp. 127, 2017.
  17. T. Maheshwari, D. R. Patel, “A Review on the Cyber Security of Medical Devices: Risk Analysis and Approaches,” J Med Syst, vol. 42, no. 4, pp. 69, 2018.
  18. K. Kim et al., “Privacy and Security in the Implementation of Smart Cities: A Review,” Sustainability, vol. 12, no. 12, pp. 4969, 2020.
  19. Liu et al., “A cost-effectiveness analysis of robotic-assisted dental implant surgery,” Int J Med Robot, vol. 17, no. 2, pp. e2088, 2021.
  20. Nahum et al., “Robotic dentistry: current applications and future perspectives,” Int J Comput Dent, vol. 22, no. 4, pp. 313-325, 2019.
  21. J. Kim et al., “The Role of Data Science and Artificial Intelligence in Dentistry,” Dent Clin North Am, vol. 65, no. 3, pp. 555-567, 2021.
  22. T. M. Mathew et al., “Artificial intelligence and deep learning in dentistry: A literature review,” J Dent, vol. 115, pp. 103704, 2021.
Regular Issue Subscription Review Article
Volume 16
Issue 02
Received 24/03/2025
Accepted 09/04/2025
Published 05/05/2025
Publication Time 42 Days
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