Acta Scientific Dental Sciences

Review Article Volume 9 Issue 1

Artificial Intelligence and its Application in Prosthodontics-A Narrative Review

Chandrasekharan Nair K1*, Viswanath Gurumurthy2, Pradeep C Dathan3, Bhagya Raj4 and Peeyush Prakash4

1Professor Emeritus, Department of Prosthodontics, Sri Sankara Dental College, Akathumuri, Thiruvananthapuram, Kerala, India
2Associate Professor, Department of Dental Technology, College of Applied Medical Sciences, King Khalid University, KSA
3Professor and Head of the Department of Prosthodontics, Sri Sankara Dental College, Akathumuri, Thiruvananthapuram, Kerala, India
4PG Student, Department of Prosthodontics, Sri Sankara Dental College, Akathumuri, Trivandrum, Kerala, India

*Corresponding Author: K Chandrasekharan Nair, Professor Emeritus, Department of Prosthodontics, Sri Sankara Dental College, Akathumuri, Thiruvananthapuram, Kerala, India.

Received: December 02, 2024; Published: December 20, 2024

Abstract

Artificial intelligence (AI) was evolved nearly 70 years ago. It has involved many fields, primarily technology causing greater de velopments. Technological development was utilised in the advancement of many branches of health sciences, particularly Prosth odontics. This review narrates the early development of AI and the different products which were developed. AI improved the quality of prosthodontic treatment and precision. Implant dentistry and laboratory technology received high level progress within a short period of time. Scientists have raised a few ethical dilemmas which hopefully will be solved in the future. AI has a bright future in optimising prosthodontic treatment and dental education.

Keywords: Artificial Intelligence; Digital Dentistry; CAD/CAM; Digital Designing; AI Powered Artificial Organs

References

  1. What is Artificial Intelligence (AI)?
  2. Poplin R., et al. “Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning”. Nature Biomedical Engineering 2 (2018): 158-1
  3. Turing AM and Haugeland J. “Computing machinery and intelligence”. MA: MIT Press Cambridge (1950).
  4. Ding H., et al. “Artificial intelligence in dentistry-A review”. Frontiers in Dental Medicine 4 (2023): 1085251.
  5. McCarthy J., et al. “A proposal for the dartmouth summer research project on artificial intelligence”. AI Magazine4 (2006): 12-14.
  6. Schmidhuber J. “Deep learning”. Scholarpedia11 (2015): 32832.
  7. Liebowitz J. “Expert systems: a short introduction”. Engineering Fracture Mechanics 5-6 (1995): 601-607.
  8. Open AI. Chat GPT. Optimizing language, Models for dialogue.
  9. Introducing ChatGPT.
  10. ChatGPT: Optimizing Language Models for Dialogue.
  11. Schmidhuber J. “Deep learning. Scholarpedia11 (2015): 32832.
  12. Big Data Defined: Examples and Benefits.
  13. The Origin of Big Data Analytics.
  14. What is Deep Learning? - Deep Learning AI Explained.
  15. https://www.techtarget.com/whatis/definition/ChatGPT
  16. https://www.antegma.com/en/blog/2024/05/15/artificial-intelligence-a-classification
  17. Wei J., et al. “Evaluation of a novel computer color matching system based on the improved back-propagation neural network model”. Journal of Prosthodontics 8 (2018): 775-783.
  18. Yamaguchi S., et al. “Predicting the debonding of CAD/CAM composite resin crowns with AI”. Journal of Dental Research11 (2019): 1234-1238.
  19. van der Meer WJ., et al. “Application of Intra-Oral Dental Scanners in the Digital Workflow of Implantology”. PLoS ONE8 (2012): e43312.
  20. Cabanes-Gumbau G., et al. “Volumetric variation of peri-implant soft tissues in convergent collar implants and crowns using the biologically oriented preparation technique (BOPT)”. Medicina Oral, Patologia Oral, Cirugia Bucal 5 (2019): e643-651.
  21. Alshadidi AAF., et al. “Investigation on the Application of Artificial Intelligence in Prosthodontics. Applied Science 13 (2023): 5004.
  22. Michelinakis G., et al. “Artificial intelligence in prosthodontics”. International Dental Journal 4 (2006): 203.
  23. Revilla-León M., et al. “Artificial intelligence applications in implant dentistry: a systematic review”. Journal of Prosthetic Dentistry (2023).
  24. Wolfaardt JF. “The future of maxillofacial prosthodontics in North America: The role of advanced digital technology and artificial intelligence-A discussion document”. Journal of Prosthetic Dentistry 131 (2024): 1253.e1-e34.
  25. Alshadidi AAF., et al. “Investigation on the Application of Artificial Intelligence in Prosthodontics”. Applied Science 13 (2023): 5004.
  26. Gowdar IM., et al. “Artificial intelligence and its awareness and utilization among dental students and private dental practitioners at Alkharj, Saudi Arabia”. Journal of Pharmacy and Bioallied Sciences 16 (2024): S2264-2267.
  27. Rokesh., et al. “Knowledge, attitude, and perception/practice towards artificial intelligence among dental students and dental professionals - a systematic review”. International Journal Of Community Medicine And Public Health 11 (2024): 4450-4465.
  28. Duggal I and Tripathi T. “Ethical principles in dental healthcare: Relevance in the current technological era of artificial intelligence”. Journal of Oral Biology and Craniofacial Research 3 (2024): 317-321.
  29. Qamar., et al. “Exploring dental professionals’ outlook on the future of dental care amidst the integration of artificial intelligence in dentistry: a pilot study in Pakistan”. BMC Oral Health 24 (2024): 542.
  30. Ayad., et al. “Patients’ perspectives on the use of artificial intelligence in dentistry: a regional survey”. Head and Face Medicine 19 (2023): 23.
  31. Russell S and Norvig P. “Artificial Intelligence: A Modern Approach 3rd edition”. Saddle River, NJ: Prentice Hall (2009).
  32. Newell N. “You Can’t Play 20 Questions with Nature and Win: Projective Comments on the Papers of this Symposium”. in Visual Information Processing, W. Chase, ed., New York, NY: Academic Press (1973): 283-308.

Citation

Citation: Chandrasekharan Nair K., et al. “Artificial Intelligence and its Application in Prosthodontics-A Narrative Review". Acta Scientific Dental Sciences 9.1 (2025): 45-52.

Copyright

Copyright: © 2025 Chandrasekharan Nair K., 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.




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