Attitudes, Awareness Toward the Use of Digital Twin Technology in Restorative and Surgical Dentistry in Saudi Arabia
Abstract
Digital Twin Technology (DTT) is revolutionizing various industries, including healthcare, by providing real-time, virtual replicas of physical objects or processes. This study investigates the attitudes and awareness of Saudi-based dentists toward the application of DTT in restorative and surgical dentistry. A cross-sectional survey of 376 dentists was conducted to analyze their knowledge, perceptions, and barriers to adopting DTT. Results reveal that while 40.1% of participants exhibit a high level of knowledge of DTT, a significant portion remains unaware of its potential applications in dental practice, particularly in designing computer-aided restorations, diagnosing oral cancer, and fabricating hard and soft tissue replicas. Awareness of related programs, such as Dentistry 4.0 and 3D printing, was moderate, with specialists and practitioners in urban areas demonstrating higher familiarity compared to their rural counterparts. The findings emphasize the need for targeted educational programs, enhanced accessibility, and standardized training to bridge knowledge gaps and promote the integration of DTT into clinical practice. This study highlights the transformative potential of DTT and calls for initiatives to equip dental professionals with the necessary skills to effectively harness its benefits.
Keywords:
Digital twin technology, Restorative dentistry, Surgical dentistry, Digital dentistry
How to cite:
Vancouver
Abdulrahman B, Basha A, Alqattan G, Alsahib T, Alomran S, Dahman A. Attitudes, Awareness Toward the Use of Digital Twin Technology in Restorative and Surgical Dentistry in Saudi Arabia. SPEC. J. MED. RES. HEALTH SCI.. 2025;10(1):43-56.
https://doi.org/10.51847/ncDut203f1
APA
Abdulrahman, B., Basha, A., Alqattan, G., Alsahib, T., Alomran, S., & Dahman, A. (2025). Attitudes, Awareness Toward the Use of Digital Twin Technology in Restorative and Surgical Dentistry in Saudi Arabia.
specialty journal of medical research and health science, 10(1), 43-56.
https://doi.org/10.51847/ncDut203f1
References
- Devoto L, Muscroft S, Chand M. Highly accurate, patient-specific, 3-dimensional mixed-reality model creation for surgical training and decision-making. JAMA Surg. 2019;154(10):968-9 doi:10.1001/jamasurg.2019.3452
- Tondin GM, Leal MOCD, Costa ST, Grillo R, Jodas CRP, Teixeira RG. Evaluation of the accuracy of virtual planning in bimaxillary orthognathic surgery: a systematic review. Br J Oral Maxillofac Surg. 2022;60(4):412-21.
- Maddahi Y, Chen S. Applications of digital twins in the healthcare industry: case review of an IoT-enabled remote technology in dentistry. Virtual Worlds. 2022;1(1):20-41. doi:10.1016/j.virtualworlds.2022.100001
- Ahmed H, Devoto L. The potential of a digital twin in surgery. Surg Innov. 2021;28(4):509-10. doi:10.1177/15533506211009455
- Lee JH, Lee HL, Park IY, On SW, Byun SH, Yang BE. Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography. Sci Rep. 2023;13(1):10603. doi:10.1038/s41598-023-36094-5
- Bruynseels K, Santoni de Sio F, van den Hoven J. Digital twins in health care: ethical implications of an emerging engineering paradigm. Front Genet. 2018;9:31. doi:10.3389/fgene.2018.00031
- Dobrzański LB. Use of precise implantological surgical guides in reconstructions adjacent to teeth with unusual anatomy-use of Dentistry. Int Sci J Ind 4.0. 2024;9(4):138-42. doi:10.1007/s41465-023-00827-5
- Javaid M, Haleem A, Singh RP, Suman R. Dentistry 4.0 technologies applications for dentistry during COVID-19 pandemic. Sustain Oper Comput. 2021;2:87-96. doi:10.1016/j.susoc.2021.06.002
- El Ashry MF, Hammad IA, Raheem IM. Cast-free modified digital twin-stage technique for complete mouth rehabilitation: a dental technique. J Prosthet Dent. 2024;132(3):488-95. doi:10.1016/j.prosdent.2021.11.003
- Ahn S, Kim J, Baek S, Kim C, Jang H, Lee S. Toward digital twin development for implant placement planning using a parametric reduced-order model. Bioengineering. 2024;11(1):84. doi:10.3390/bioengineering11010084
- Alqahtani AS, Alqhtani NR, Gufran K, Aljulayfi IS, Alateek AM, Alotni SI, et al. Analysis of trends in demographic distribution of dental workforce in the Kingdom of Saudi Arabia. J Healthc Eng. 2022;2022(1):5321628.
- Ma Y, Li Y, Liu X, Gao J, Wang A, Liu Z, et al. Future perspectives of digital twin technology in orthodontics. Displays. 2024;85:102818. doi:10.1016/j.displa.2023.102818
- Deniz S, Müller UC, Steiner I, Sergi T. Online (remote) teaching for laboratory based courses using “digital twins” of the experiments. J Eng Gas Turbine Power. 2022;144(5):051016. doi:10.1115/1.4050138
- Cheng L, Kalvandi M, McKinstry S, Maddahi A, Chaudhary A, Maddahi Y, et al. Application of DenTeach in remote dentistry teaching and learning during the COVID-19 pandemic: a case study. Front Robot AI. 2021;7:611424. doi:10.3389/frobt.2020.611424
- Mangano C, Luongo F, Migliario M, Mortellaro C, Mangano FG. Combining intraoral scans, cone beam computed tomography and face scans: the virtual patient. J Craniofacial Surg. 2018;29(8):2241-6. doi:10.1097/SCS.0000000000004792