Enhancing Traditional Dental Care Practices through Modern Technologies and Medical Devices: A Systematic Review

Authors

  • Yousef Radhi K Alanazi
  • Sattam Saad Dughayyim Alharbi
  • Mohammed Abdullah Ali Alsultan
  • Fahad Ayed Bandar Alharbi
  • Omar Abdullah Saleh Alharbi
  • Saleem Ali Qasem Atiah

DOI:

https://doi.org/10.52783/jns.v14.2916

Keywords:

Advanced Technologies, Medical Devices, Dentistry, Dentist, AI, Dental Imaging

Abstract

New technology has dramatically influenced the practice of dentistry, ushering in more effective and conservative treatments for patients. This systematic review aimed to provide a comprehensive view of the technologies most widely used as the treatment of choice in the dental office. The goal was to identify the typical applications of state-of-the-art technologies in dentistry. By extracting relevant data from databases such as PubMed, Web of Science, and Scopus, we sought to enroll the most common cutting-edge technology utilized by dentists between 2015 and 2024. Adopting more modern technology into conventional dentistry practices can significantly enhance clinical outcomes, the satisfaction of practicing dentists, and career opportunities, ultimately leading to improved patient care and safety, instilling a sense of reassurance and optimism in the audience.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Mohd Javaid, Abid Haleem, Ravi Pratap Singh, Rajiv Suman, Dentistry 4.0 technologies applications for dentistry during COVID-19 pandemic, Sustainable Operations and Computers, Volume 2, 2021, Pages 87-96,

Yüzbaşıoğlu E. Attitudes and perceptions of dental students towards artificial intelligence. J Dent Educ 2021; 85(1): 60-8.

Aguilar-Díaz FC. Knowledge, practices, and perceptions regarding oral health preventive measures among Mexican dental students: A cross-sectional survey study. J Biol Regul Homeost Agents 2021;35: 163-71.

Lombardo G, Signoriello A, Marincola M, et al. Five-Year Follow-Up of 8 and 6 mm locking-taper Implants Treated with a Reconstructive Surgical Protocol for peri-implantitis: A Retrospective Evaluation. Prosthesis 2023; 5(4): 1322-42.

Unkovskiy A, Huettig F, Kraemer-Fernandez P, Spintzyk S. Multi-Material 3D Printing of a Customized Sports Mouth Guard: Proof-of-Concept Clinical Case. Int J Environ Res Public Health 2021;18(23): 12762.

Karakas-Stupar I, Zaugg LK, Zitzmann NU, Joda T, Wolfart S, Tuna T. Clinical protocol for implant-assisted partial removable dental prostheses in Kennedy class I: A Case Report. Prosthesis 2023; 5: 1002-10.

De Stefani A, Barone M, Hatami Alamdari S,et al. Validation of Vectra 3D imaging systems: A review. Int J Environ Res Public Health 2022; 19(14): 8820.

Shetty V, Yamamoto J, Yale K. Re-architecting oral healthcare for the 21st century. J Dent 2018; 74(Suppl 1) (Suppl. 1): S10-4.

Lo Russo L, Pierluigi M, Zhurakivska K, Digregorio C, Lo Muzio E, Laino L. Three-dimensional accuracy of surgical guides for static computer-aided implant surgery: A systematic review. Prosthesis 2023; 5: 809-25.

Ohara K, Isshiki Y, Hoshi N, et al. Patient satisfaction with conventional dentures vs. digital dentures fabricated using 3D-printing: A randomized crossover trial. J Prosthodont Res 2022; 66(4): 623-9.

Liu YX, Yu SJ, Huang XY, Lin FF, Zhu GX. Primary exploration of the clinical application of 3D-printed complete dentures. Int J Prosthodont 2022; 35(6): 809-14.

Al-Halabi MN, Bshara N, Nassar JA, Comisi JC, Alawa L. Comparative assessment of novel 3d printed resin crowns versus direct celluloid crowns in restoring pulp treated primary molars. J Evid Based Dent Pract 2022; 22(1): 101664.

Gupta S, Goil P. USE of 3D printing and virtual 3D imaging to aid mandibular reconstruction; A low cost, the easy and reproducible methodology at our center. J Plast Reconstr Aesthet Surg 2021; 74(5): 1101-60.

Abd El-Ghafour M, Aboulhassan MA, Fayed MMS,et al. Effectiveness of a novel 3D-printed nasoalveolar molding appliance (D-NAM) on improving the maxillary arch dimensions in unilateral cleft lip and palate infants: A randomized controlled trial. Cleft Palate Craniofac J 2020; 57(12): 1370-81.

Herpel C, Kykal J, Rues S, Schwindling FS, Rammelsberg P, Eberhard L. Thermo-flexible resin for the 3D printing of occlusal splints: A randomized pilot trial. J Dent 2023; 133: 104514.

Elawady DM, Ibrahim WI, Osman RB. Clinical evaluation of implant overdentures fabricated using 3D-printing technology versus conventional fabrication techniques: A randomized clinical trial. Int J Comput Dent 2021; 24(4): 375-84.

Peters O, Scott R, Arias A, et al. Evaluating dental students' skills acquisition in endodontics using a 3D printed tooth model. Eur Endod J 2021; 6(3): 290-4.

Aksakalli S, Ok U, Temel C, Mansuroglu DS, Sahin YM. The mechanical testing and performance analysis of three-dimensionally produced lingual retainers. J World Fed Orthod 2023; 12(2): 64-71.

Ye RR, Zhong Q, Wang J, Bao XJ, Gong ZC, Jia S. Comparison of the effects of removable dentures made by 3D printing and traditional casting methods on patients’ subjective feelings. Shanghai Kou Qiang Yi Xue 2022; 31(3): 295-9.

Chevalier V, Dessert M, Fouillen KJ, Lennon S, Duncan HF. A preclinical 3D-printed laboratory simulation of deep caries and the exposed pulp reduced student anxiety and stress while increasing confidence and knowledge in vital pulp treatment. Int Endod J 2022; 55(8): 844-57.

Schneider D, Kämmerer PW, Hennig M, Schön G, Thiem DGE, Bschorer R. Customized virtual surgical planning in bimaxillary orthognathic surgery: A prospective randomized trial. Clin Oral Investig 2019; 23(7): 3115-22.

Sun Y, Ding Q, Yuan F, Zhang L, Sun Y, Xie Q. Accuracy of a chairside, fused deposition modeling three‐dimensional‐printed, single tooth surgical guide for implant placement: A randomized controlled clinical trial. Clin Oral Implants Res 2022; 33(10):

1000-9.

Gupta S, Goil P. Formulating an easy, affordable, reproducible method for virtual planning and 3D reconstruction. Ann Plast Surg 2021; 87(1): 65-72.

Qi W, Qian J, Zhou W, et al. 3D-printed titanium surgical guides to extract horizontally impacted lower third molars. Clin Oral Investig 2022; 27(4): 1499-507.

Bae S, Mai HN, Lee DH. Accuracy of digitally fabricated drilling guide to form screw-access channels in cement-retained implant prostheses: A randomized clinical trial. J Prosthet Dent 2022; 128(6): 1282.e1-8.

Wei L, Chen H, Zhou YS, Sun YC, Pan SX. Evaluation of production and clinical working time of computer-aided design/computer-aided manufacturing (CAD/CAM) custom trays for complete denture. Beijing Da Xue Xue Bao 2017; 49(1): 86-91.

Schneider D, Sancho-Puchades M, Schober F, Thoma D, Hämmerle C, Jung R. A randomized controlled clinical trial comparing conventional and computer-assisted implant planning and placement in partially edentulous patients. Part 3: Time and cost analyses. Int J Periodontics Restorative Dent 2019; 39: e71-82.

Chen C, Sun N, Jiang C, Sun J. Randomized controlled clinical trial to assess the utility of computer-aided intra-operative navigation in bimaxillary orthognathic surgery. J Craniofac Surg 2021; 32(6): 2205-9.

Liu S, Li J, Xu C,et al. Effect of computer-assisted design and manufacturing cutting and drilling guides accompanied with prebent titanium plates on correcting skeletal class II malocclusion: A randomized controlled trial. Int J Oral Maxillofac Surg 2021; 50(10): 1320-8.

Murbay S, Chang JW, Yeung S, Neelakantan P. Evaluation of the introduction of a dental virtual simulator on the performance of undergraduate dental students in the preclinical operative dentistry course. Eur J Dent Educ 2020; 24(1): 5-16.

Mirghani I, Mushtaq F, Allsop MJ, et al. Capturing differences in dental training using a virtual reality simulator. Eur J Dent Educ 2018; 22(1): 67-71.

de Boer IR, Lagerweij MD, Wesselink PR, Vervoorn JM. The effect of variations in force feedback in a virtual reality environment on the performance and satisfaction of dental students. Simul Healthc 2019; 14(3): 169-74.

Li Y, Wu Y, Gao Y,et al. Machine-learning based prediction of prognostic risk factors in patients with invasive candidiasis infection and bacterial bloodstream infection: A singled centered retrospective study. BMC Infect Dis 2022; 22(1): 150.

Jung W, Lee KE, Suh BJ, Seok H, Lee DW. Deep learning for osteoarthritis classification in temporomandibular joint. Oral Dis 2023; 29(3): 1050-9.

Al-Sarem M, Al-Asali M, Alqutaibi AY, Saeed F. Enhanced tooth region detection using pre-trained deep learning models. Int J Environ Res Public Health 2022; 19(22): 15414.

Ahmed N, Abbasi MS, Zuberi F,et al. Artificial intelligence techniques: Analysis, application, and outcome in dentistry-a systematic review. BioMed Res Int 2021; 2021: 1-15.

Khanagar SB, Al-ehaideb A, Maganur PC,et al. Developments, application, and performance of artificial intelligence in dentistry – A systematic review. J Dent Sci 2021; 16(1): 508-22.

Mörch CM, Atsu S, Cai W, et al. Artificial intelligence and ethics in dentistry: A scoping review. J Dent Res 2021; 100(13): 1452-60.

Jung, S.K., Lee, H. and Kim, H. (2023) ‘Artificial intelligence for radiographic imaging detection of caries: A systematic review’, International Journal of Oral Science, 15(1), p. 12.

Downloads

Published

2025-04-02

How to Cite

1.
Radhi K Alanazi Y, Dughayyim Alharbi SS, Abdullah Ali Alsultan M, Bandar Alharbi FA, Saleh Alharbi OA, Qasem Atiah SA. Enhancing Traditional Dental Care Practices through Modern Technologies and Medical Devices: A Systematic Review. J Neonatal Surg [Internet]. 2025Apr.2 [cited 2025Oct.3];14(10S):728-35. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/2916