DIGITAL TECHNOLOGY AND ROBOTIC APPLICATIONS IN DENTAL IMPLANTOLOGY

Sema Nur Sevinç Gül

Atatürk University, Faculty Dentistry, Department of Periodontology, Erzurum, Türkiye

Sevinç Gül SN. Digital Technology and Robotic Applications in Dental Implantology. In: Kul E, editor. Perspectives on Digital Dentistry. 1st ed. Ankara: Türkiye Klinikleri; 2025. p.169177.

ABSTRACT

Digital technology has had a profound impact on the field of dentistry, particularly in the domain of im plantology. The integration of digital technology has enhanced treatment effectiveness by facilitating the processes of diagnosis, treatment planning, surgical procedures, and restoration applications. Digi tal technology plays a critical role in the creation of virtual patient models by collecting and combining information, conducting surgical procedures, and applying implant restorations. Digital technology applications enable the seamless transfer of virtual treatment plans to real surgical fields, utilising tools such as templates, navigation systems, and implant robots. In the context of dental implant placement procedures, the utilisation of computerassisted implant surgery (CAIS) and robotic technology pro tocols assumes particular significance in ensuring optimal threedimensional implant positioning and minimizing the risk of damage to nearby vital structures.

Extensive research on the development of digital technology in implantology has demonstrated that these innovations are subject to continuous updating and renewal through the emergence of novel digital techniques that supersede earlier methodologies. While the rapid advancement of digital tech nologies has revolutionized clinical services, the use of implant robots, especially with the widespread integration of artificial intelligence (AI) technology for diagnosis and prognosis, poses new challenges for clinicians. In comparison to digital advancements in the field of clinical medicine, AIpowered implant robots have the potential to function as essential assistants to human team members. Never theless, a thorough evaluation of the advantages and disadvantages of these technologies is imperative, and effective applications must be meticulously planned to ensure optimal patient benefits.

Keywords: Artificial intelligence; Dental implants; Digital technology; Robotic surgical procedures; virtual reality

Referanslar

  1. Yuan Y, Liu Q, Yang S, He W. Four-Dimensional Superimposition Techniques to Compose Dental Dynamic Virtual Patients: A Systematic Review. J Funct Biomater. 2023;14(1):33. [Crossref]  [PubMed]  [PMC]
  2. Hämmerle CHF, Cordaro L, van Assche N, et al. Digital technologies to support planning, treatment, and fabrication processes and outcome assessments in implant dentistry. Summary and consensus statements. The 4th EAO consensus conference 2015. Clin Oral Implants Res. 2015;26:97-101. [Crossref]  [PubMed]
  3. Chackartchi T, Romanos GE, Parkanyi L, Schwarz F, Sculean A. Reducing errors in guided implant surgery to optimize treatment outcomes. Periodontol 2000. 2022;88(1):64-72. [Crossref]  [PubMed]
  4. Rasaie V, Abduo J, Hashemi S. Accuracy of Intraoral Scanners for Recording the Denture Bearing Areas: A Systematic Review. J Prosthodont. 2021;30(6):520-539. [Crossref]  [PubMed]
  5. Revilla-León M, Kois DE, Kois JC. A guide for maximizing the accuracy of intraoral digital scans. Part 1: Operator factors. J Esthet Restor Dent. 2023;35(1):230-240. [Crossref]  [PubMed]
  6. Cao R, Zhang S, Li L, Qiu P, Xu H, Cao Y. Accuracy of intraoral scanning versus conventional impressions for partial edentulous patients with maxillary defects. Sci Rep. 2023;13(1):16773. [Crossref]  [PubMed]  [PMC]
  7. Gabriel Pérez-Giugovaz M, Park SH, Revilla-León M. 3D virtual patient representation for guiding a maxillary overdenture fabrication: A dental technique. J Prosthodont. 2021;30(7):636-641. [Crossref]  [PubMed]
  8. Raffone C, Gianfreda F, Antonacci D, Pompeo MG, Bollero P, Canullo L. Chairside virtual patient protocol. Part 3: In vitro accuracy of a digital facebow. J Dent. 2023;137:104622. [Crossref]  [PubMed]
  9. Mangano C, Luongo F, Migliario M, Mortellaro C, Mangano FG. Combining intraoral scans, cone beam computed tomography and face scans: The virtual patient. Journal of Craniofacial Surgery. 2018;29(8):2241-2246. [Crossref]  [PubMed]
  10. Lepidi L, Galli M, Mastrangelo F, et al. Virtual articulators and virtual mounting procedures: where do we stand? Journal of Prosthodontics. 2021;30(1):24-35. [Crossref]  [PubMed]
  11. Wei SM, Zhu Y, Wei JX, Zhang CN, Shi JY, Lai HC. Accuracy of dynamic navigation in implant surgery: A systematic review and meta-analysis. Clin Oral Implants Res. 2021;32(4):383-393. [Crossref]  [PubMed]
  12. Pozzi A, Polizzi G, Moy PK. Guided surgery with tooth-supported templates for single missing teeth: A critical review. Eur J Oral Implantol. 2016;9(Suppl 1):35-53. [Link]
  13. Pimkhaokham A, Jiaranuchart S, Kaboosaya B, Arunjaroensuk S, Subbalekha K, Mattheos N. Can computer-assisted implant surgery improve clinical outcomes and reduce the frequency and intensity of complications in implant dentistry? A critical review. Periodontol 2000. 2022;90(1):197-223. [Crossref]  [PubMed]  [PMC]
  14. Søndergaard K, Hosseini M, Storgård Jensen S, Spin-Neto R, Gotfredsen K. Fully versus conventionally guided implant placement by dental students: A randomized controlled trial. Clin Oral Implants Res. 2021;32(9):1072-1084. [Crossref]  [PubMed]
  15. Yotpibulwong T, Arunjaroensuk S, Kaboosaya B, et al. Accuracy of implant placement with a combined use of static and dynamic computer-assisted implant surgery in single tooth space: A randomized controlled trial. Clin Oral Implants Res. 2023;34(4):330-341. [Crossref]  [PubMed]
  16. Lorwicheanrung J, Mahardawi B, Arunjaroensuk S, Kaboosaya B, Mattheos N, Pimkhaokham A. The accuracy of implant placement using a combination of static and dynamic computer-assisted implant surgery in fully edentulous arches: A prospective controlled clinical study. Clin Oral Implants Res. 2024;35(8):841-853. [Crossref]  [PubMed]
  17. Emery RW, Merritt SA, Lank K, Gibbs JD. Accuracy of Dynamic Navigation for Dental Implant Placement-ModelBased Evaluation. J Oral Implantol. 2016;42(5):399-405. [Crossref]  [PubMed]
  18. Block MS, Emery RW, Cullum DR, Sheikh A. Implant Placement Is More Accurate Using Dynamic Navigation. J Oral Maxillofac Surg. 2017;75(7):1377-1386. [Crossref]  [PubMed]
  19. Wang X, Shaheen E, Shujaat S, et al. Influence of experience on dental implant placement: an in vitro comparison of freehand, static guided and dynamic navigation approaches. International Journal of Implant Dentistry 2022 8:1. 2022;8(1):1-9. [Crossref]  [PubMed]  [PMC]
  20. Sun T, Lee H, Lan H. Comparing Accuracy of Implant Installation with a Navigation System (NS), a Laboratory Guide (LG), NS with LG, and Freehand Drilling. Int J Environ Res Public Health. 2020;17(6):2107. [Crossref]  [PubMed]  [PMC]
  21. Mahardawi B, Jiaranuchart S, Arunjaroensuk S, Dhanesuan K, Mattheos N, Pimkhaokham A. The Accuracy of Dental Implant Placement With Different Methods of Computer-Assisted Implant Surgery: A Network Meta-Analysis of Clinical Studies. Clin Oral Implants Res. 2024;36(1):1-16. [Crossref]  [PubMed]
  22. Jia S, Wang G, Zhao Y, Wang X. Accuracy of an autonomous dental implant robotic system versus static guide-assisted implant surgery: A retrospective clinical study. J Prosthet Dent. 2023;S0022-391(23):00284-00286. [Crossref]  [PubMed]
  23. Aydemir CA, Arısan V. Accuracy of dental implant placement via dynamic navigation or the freehand method: A split-mouth randomized controlled clinical trial. Clin Oral Implants Res. 2020;31(3):255-263. [Crossref]  [PubMed]
  24. Zhang S, Cai Q, Chen W, et al. Accuracy of implant placement via dynamic navigation and autonomous robotic computerassisted implant surgery methods: A retrospective study. Clin Oral Implants Res. 2024;35(2):220-229. [Crossref]  [PubMed]
  25. Divakar TK, Gidean Arularasan S, Baskaran M, Packiaraj I, Dhineksh Kumar N. Clinical Evaluation of Placement of Implant by Flapless Technique Over Conventional Flap Technique. J Maxillofac Oral Surg. 2020;19(1):74-84. [Crossref]  [PubMed]  [PMC]
  26. Saeed A, Alkhurays M, AlMutlaqah M, AlAzbah M, Alajlan SA. Future of Using Robotic and Artificial Intelligence in Implant Dentistry. Cureus. 2023;15(8):e43209. [Crossref]
  27. Bahrami R, Pourhajibagher M, Nikparto N, Bahador A. Robot-assisted dental implant surgery procedure: A literature review. J Dent Sci. 2024;19(3):1359-1368. [Crossref]  [PubMed]  [PMC]
  28. Xu Z, Xiao Y, Zhou L, et al. Accuracy and efficiency of robotic dental implant surgery with different human-robot interactions: An in vitro study. J Dent. 2023;137:104642. [Crossref]  [PubMed]
  29. Zhou WK, Wang JJ, Jiang YH, et al. Clinical and in vitro application of robotic computer-assisted implant surgery: a scoping review. Int J Oral Maxillofac Surg. 2025;54(1):74-81. [Crossref]  [PubMed]
  30. Yang S, Chen J, Li A, Deng K, Li P, Xu S. Accuracy of autonomous robotic surgery for single-tooth implant placement: A case series. J Dent. 2023;132:104451. [Crossref]  [PubMed]
  31. Cheng K jie, Kan T shu, Liu Y feng, et al. Accuracy of dental implant surgery with robotic position feedback and registration algorithm: An in-vitro study. Comput Biol Med. 2021;129:104153. [Crossref]  [PubMed]
  32. Xu Z, Xiao Y, Zhou L, et al. Accuracy and efficiency of robotic dental implant surgery with different human-robot interactions: An in vitro study. J Dent. 2023;137:104642. [Crossref]  [PubMed]
  33. Yang S, Chen J, Li A, Li P, Xu S. Autonomous Robotic Surgery for Immediately Loaded Implant-Supported Maxillary Full-Arch Prosthesis: A Case Report. J Clin Med. 2022;11(21):6594. [Crossref]  [PubMed]  [PMC]
  34. Liu C, Liu Y, Xie R, Li Z, Bai S, Zhao Y. The evolution of robotics: research and application progress of dental implant robotic systems. International Journal of Oral Science 2024 16:1. 2024;16(1):1-13. [Crossref]  [PubMed]  [PMC]
  35. Alqutaibi AY, Algabri RS, Alamri AS, et al. Advancements of artificial intelligence algorithms in predicting dental implant prognosis from radiographic images: A systematic review. J Prosthet Dent. 2024;S0022-3913(24):00727-3. [Crossref]
  36. Bolding SL, Reebye UN. Accuracy of haptic robotic guidance of dental implant surgery for completely edentulous arches. J Prosthet Dent. 2022;128(4):639-647. [Crossref]  [PubMed]
  37. Mergelmeyer J. Dental implant surgeries with simultaneous sinus augmentation utilizing Yomi robotics. Impressions (Orange). 2022;46:29-32. [Link]
  38. Lopes A, Nobre M de A, Santos D. The Workflow of a New Dynamic Navigation System for the Insertion of Dental Implants in the Rehabilitation of Edentulous Jaws: Report of Two Cases. Journal of Clinical Medicine 2020, Vol 9, Page 421. 2020;9(2):421. [Crossref]  [PubMed]  [PMC]
  39. What Implant Is That? Accessed January 22, 2025. [Link]
  40. Michelinakis G, Sharrock A, Barclay CW. Identification of dental implants through the use of Implant Recognition Software (IRS). Int Dent J. 2006;56(4):203-208. [Crossref]  [PubMed]
  41. Revilla-León M, Gómez-Polo M, Vyas S, et al. Artificial intelligence applications in implant dentistry: A systematic review. J Prosthet Dent. 2023;129(2):293-300. [Crossref]  [PubMed]
  42. Bonfanti-Gris M, Ruales E, Salido MP, Martinez-Rus F, Özcan M, Pradies G. Artificial intelligence for dental implant classification and peri-implant pathology identification in 2D radiographs: A systematic review. J Dent. 2025;153:105533. [Crossref]  [PubMed]
  43. Lyakhov PA, Dolgalev AA, Lyakhova UA, Muraev AA, Zolotayev KE, Semerikov DY. Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants. Front Neuroinform. 2022;16:1067040. [Crossref]  [PubMed]  [PMC]
  44. Huang N, Liu P, Yan Y, et al. Predicting the risk of dental implant loss using deep learning. J Clin Periodontol. 2022;49(9):872-883. [Crossref]  [PubMed]
  45. Chang Y, Tambe AA, Maeda Y, Wada M, Gonda T. Finite element analysis of dental implants with validation: to what extent can we expect the model to predict biological phenomena? A literature review and proposal for classification of a validation process. International Journal of Implant Dentistry 2018 4:1. 2018;4(1):1-14. [Crossref]  [PubMed]  [PMC]
  46. Li H, Shi M, Liu X, Shi Y. Uncertainty optimization of dental implant based on finite element method, global sensitivity analysis and support vector regression. 2018;233(2):232-243. [Crossref]  [PubMed]
  47. Roy S, Dey S, Khutia N, Roy Chowdhury A, Datta S. Design of patient specific dental implant using FE analysis and computational intelligence techniques. Appl Soft Comput. 2018;65:272-279. [Crossref]