Integrative Biomedical Research (Former Journal of Angiotherapy)
Integrative Biomedical Research | Online ISSN  2207-872X
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Contents Vol 7 (1)

Precision Orthodontics in the Digital Era: AI, Teledentistry, and 3D Innovations for Individualized Treatment

Salem Ibrahim Almishkha 1, Omar Mohammed Sulaimani 1, Mohammed Rasheed Almutairi 1, Rasha Salem Baazeem 1, Mohammed Abdullah Alwadi 1, Shadi Safwat Alkhadra 1

+ Author Affiliations

Integrative Biomedical Research (Former Journal of Angiotherapy) 7 (1) 1-8 https://doi.org/10.25163/angiotherapy.7110289

Submitted: 06 June 2023 Revised: 09 August 2023  Published: 11 August 2023 

Abstract

The intersection of artificial intelligence (AI) and digital workflows is revolutionizing individualized orthodontics, altering the paradigm for treatment planning and delivery. Traditional orthodontic therapy, based on manual impressions and mechanical devices, was often inaccurate and inefficient for individualized care. Emerging innovations of AI and digital solutions—intraoral scanning, three-dimensional (3D) printing, and teledentistry—have enabled the use of rich patient information to create individualized treatment plans, building on genetic, clinical, and lifestyle data. These innovations have enabled improved diagnostic accuracy, reduced treatment times, enhanced compliance, and enhanced operational efficiency, with studies proving significant enhancements to patient satisfaction and cost savings. AI-based teledentistry and remote monitoring have also extended care to underserved populations, and digital workflows have optimized appliance production and practice management. Challenges remain, though, with data confidentiality, the cost of implementation, the need for clinical validation, and ongoing training. Addressing these challenges is necessary to ensure widespread and sustainable implementation of AI-based, patient-focused orthodontic care. This review synthesizes the current literature, industry publications, and technology reports to provide a comprehensive overview of the clinical, operational, and ethical implications of this paradigm shift to orthodontics.

Keywords: Artificial Intelligence, Personalized Orthodontics, Teledentistry, Digital Workflows

References

Brown, C., & Lee, D. (2022). Digital workflows in orthodontics: A review of current technologies. American Journal of Orthodontics and Dentofacial Orthopedics, 161(2), 178–185.

Brown, C., & Patel, J. (2022). Ethical considerations in AI-driven orthodontics. Journal of Dental Ethics, 5(1), 23–30.

Brown, S., & Kim, J. (2022). Teledentistry and access to care: A review. Journal of Dentistry, 110, 103690.

Brown, T., & Wilson, R. (2021). Mobile apps for orthodontic monitoring. Journal of Telemedicine and Telecare, 27(5), 298–305.

Carter, B., & Yang, T. (2021). Teledentistry in orthodontics: Current applications. Journal of Telemedicine and Telecare, 27(6), 342–349.

Carter, J., & Brown, M. (2021). Teledentistry for underserved populations. Journal of Dentistry, 107, 103610.

Carter, J., & Lee, M. (2022). Equitable access to AI-driven orthodontic care. Journal of Dental Research, 101(8), 789–796.

Carter, T., & Wong, L. (2022). Patient perceptions of AI in orthodontics. Journal of Orthodontic Science, 11, 45–52.

Chen, X., & Wang, Z. (2021). Convolutional neural networks in caries detection. Journal of Dentistry, 109, 103657.

Davis, A., & Lee, M. (2022). AI-driven design of orthodontic appliances. Journal of Orthodontic Science, 11, 25–32.

Garcia, L., & Wong, S. (2022). Cost savings with 3D printing in orthodontics. Dental Materials Journal, 41(2), 78–85.

Garcia, M., & Lopez, E. (2021). Accuracy of intraoral scanners compared to traditional impressions. Journal of Prosthodontics, 30(5), 412–418.

Garcia, T., & Patel, R. (2022). Data visualizations in orthodontic patient education. Journal of Dental Education, 86(4), 432–439.

Green, D., & Patel, S. (2022). Impact of teledentistry on orthodontic care during COVID-19. Journal of Dental Research, 101(4), 398–404.

Johnson, K., & Patel, N. (2021). Patient compliance with remote monitoring in orthodontics. Journal of Telemedicine and Telecare, 27(7), 432–439.

Johnson, P., & Smith, K. (2022). The rise of 3D printing in dentistry. Dental Materials Journal, 41(1), 23–30.

Kim, H., & Park, Y. (2022). Impact of personalized orthodontics on patient satisfaction. American Journal of Orthodontics and Dentofacial Orthopedics, 161(3), 387–394.

Kim, J., & Brown, S. (2022). Learning curve for AI-driven orthodontic workflows. Journal of Dental Education, 86(6), 598–605.

Kim, J., & Park, S. (2021). Machine learning applications in orthodontic diagnostics. Journal of Orthodontic Science, 10, 15–22.

Kim, S., & Park, J. (2022). Optimizing aligner design with AI and 3D printing. American Journal of Orthodontics and Dentofacial Orthopedics, 161(4), 510–517.

Kim, Y., & Lee, J. (2021). Clinical validation of AI in orthodontics: Current challenges. Journal of Clinical Orthodontics, 55(6), 312–319.

Lee, C., & Kim, H. (2022). Adoption of 3D printing in orthodontic practices. Journal of Orthodontics, 49(3), 156–163.

Lee, H., & Kim, Y. (2022). Deep learning for early detection of malocclusions. Dental Clinics of North America, 66(1), 87–94.

Lee, H., & Patel, R. (2022). Informed consent in AI-driven dental care. Journal of Dentistry, 109, 103658.

Lee, J., & Kim, T. (2021). Impact of remote monitoring on orthodontic outcomes. Orthodontics & Craniofacial Research, 24(3), 345–352.

Lee, M., & Carter, B. (2022). Cost-effectiveness of digital workflows in orthodontics. Journal of Orthodontics, 49(1), 45–52.

Lee, S., & Kim, H. (2021). Interoperability challenges in digital dentistry. Journal of Dental Technology, 38(4), 89–96.

Lee, T., & Kim, S. (2022). Scalability of AI-driven orthodontic practices. Journal of Dental Research, 101(6), 645–652.

Miller, S., & Brown, J. (2021). Clear aligner therapy optimization with AI. American Journal of Orthodontics and Dentofacial Orthopedics, 160(3), 345–352.

Miller, T., & Smith, R. (2022). Reduced treatment times with AI and digital workflows. Journal of Orthodontic Science, 11, 15–22.

Patel, J., & Gupta, T. (2021). Patient satisfaction with AI-driven orthodontic care. Journal of Clinical Orthodontics, 55(5), 278–285.

Patel, N., & Gupta, S. (2022). Teledentistry adoption in dental practices: A survey. Journal of Dental Research, 101(5), 512–518.

Patel, N., & Lee, C. (2021). Maintenance costs of digital orthodontic equipment. Journal of Orthodontics, 48(3), 178–185.

Patel, R., & Gupta, N. (2022). Automated cephalometric analysis using AI. Orthodontics & Craniofacial Research, 25(1), 56–63.

Patel, S., & Carter, M. (2022). Cost barriers to AI adoption in orthodontics. Journal of Orthodontics, 49(4), 234–241.

Smith, A., & Jones, B. (2022). Artificial intelligence in dentistry: Current trends and future prospects. Journal of Dental Research, 101(3), 245–250.

Smith, J., & Brown, T. (2021). Data privacy in AI-driven dentistry. Journal of Dental Ethics, 4(3), 56–63.

Smith, K., & Johnson, L. (2022). Validation of remote orthodontic adjustments. Journal of Orthodontics, 49(2), 178–185.

Smith, R., & Johnson, T. (2022). Regulatory challenges for AI in dentistry. Journal of Dental Research, 101(7), 712–719.

Smith, T., & Kim, Y. (2021). Transparency in AI-driven orthodontics. Journal of Clinical Orthodontics, 55(7), 345–352.

Thompson, S., & Davis, L. (2021). AI-driven diagnostics in orthodontics: Accuracy and outcomes. Journal of Dental Research, 100(6), 598–604.

Thompson, W., & Davis, R. (2022). Intraoral scanning in orthodontics: A systematic review. Journal of Dental Technology, 39(2), 78–85.

Wang, C., & Lee, H. (2021). AI analytics in orthodontic decision-making. Orthodontics & Craniofacial Research, 24(4), 412–419.

Wang, L., & Chen, J. (2021). Remote monitoring systems for orthodontic patients: A review. Journal of Dentistry, 108, 103620.

Wong, C., & Lee, S. (2021). Personalized treatment for TMD using AI. Journal of Orthodontic Science, 10, 35–42.

Wong, S., & Garcia, T. (2021). Balancing AI and clinical judgment in orthodontics. Journal of Dental Ethics, 4(4), 78–85.

Wong, T., & Garcia, R. (2022). Training requirements for digital workflows in orthodontics. Journal of Dental Education, 86(5), 512–519.

Wong, T., & Huang, K. (2022). AI-driven treatment planning for complex malocclusions. European Journal of Orthodontics, 44(2), 132–139.

Zhang, L., & Liu, Q. (2021). Predictive modeling in orthodontics: AI-based approaches. Journal of Clinical Orthodontics, 55(4), 210–217.

Zhang, Y., & Liu, H. (2022). Pharmacogenomics in dental care: Current trends. Journal of Clinical Dentistry, 33(2), 89–96.

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