The touch of artificial intelligence is turning everything into gold. Today, almost every field of our lives (including healthcare) is positively influenced by AI and machine learning. Orthodontists have noted the benefits of using automated systems and believe we can leverage technology for improved orthodontic outcomes. So, let’s delve into the benefits of using technology for enhanced orthodontic results!
How Technological Advancement Enhances Orthodontic Outcomes?
Orthodontics is a complex yet highly rewarding field. A good orthodontic treatment can completely change the way a patient looks and proves to be a confidence booster. Multiple factors impact the outcomes of orthodontic treatment. By increasing efficiency in different steps of orthodontics, AI greatly alters the final results.
Better Diagnosis
The primary factor in an ideal treatment outcome is the right diagnosis. In orthodontics, every case is different, and the “one size fits all” policy doesn’t work. Therefore, diagnosing the specific condition of your patient is a crucial prerequisite. To reach the perfect diagnosis, orthodontists use diagnostic key points like radiographic analyses (cephalometric landmark identification) and skeletal age determination. Despite conscious efforts, humans can miss out on important points and make errors in the diagnosis. However, artificial intelligence systems have shown promising results in diagnosing malocclusions.
These highly advanced algorithms are capable of correcting noise from radiographic images. Most commercially available programs provide accurate cephalometric reports within minutes. These steps directly enhance the outcomes.
According to a 2024 study, AI’s advancement in the orthodontic diagnostic field is commendable. It allows better visualization of the outcomes and therefore, facilitates decisions. These factors lead to better treatment outcomes. Another study concluded that diagnostic AI can help doctors plan their treatments. The diagnoses offered by machine learning algorithms are quick and reliable. Moreover, these systems have the ability to automatically complete tasks, thereby, proving to be great efficiency boosters.
Consistent And Superior Treatment Plans
You can expect to see superior results when the treatment plan is ideal. Managing space is an integral aspect of orthodontics. Thus, a lot of time and effort goes into deciding whether or not to extract teeth for space gain. AI can aid orthodontists in devising a treatment plan.
Technological advancements have led to the development of machine learning. Deep learning and machine learning algorithms are trained on vast datasets to identify patterns and provide optimal solutions. This allows the tech to provide face-driven treatment plans. As per studies, artificial neural network-based systems can provide treatment guidance to inexperienced orthodontists.
Contrary to conventional occlusion-based orthodontics, AI focuses on providing face-driven orthodontic treatment planning. It was revealed in a study, that AI-powered face enhancement apps allowed personalized treatment planning (soft-tissue oriented approach) and consequently better treatment outcomes.
Improved Management Of Complex Cases
The greatest augmentation with AI is seen in the management of complex cases. Numerous times, orthodontists collaborate with oral surgeons to perform orthognathic surgeries for comprehensive treatment. The use of AI-powered dental devices like CAD-CAM machines aids the orthodontist and the oral surgeon. As per clinical studies, machine learning algorithms are effective in the surgical planning of maxillofacial deformities. This helps improve diagnostic efficiency. Thus, AI’s decision support system can greatly enhance treatment outcomes.
Precision Orthodontics
Advancements in precision medicine are largely attributed to continuous iterations and improvements in artificial intelligence. Modern orthodontists aim to have a patient-centered treatment approach whereby the patient’s lifestyle, genetics, and personal aspects are considered. Precision orthodontics is an evolving paradigm shift in customized orthodontic therapy. By exploring the genomic factors of the patient, doctors expect to achieve better outcomes. With its high diagnostic efficiency and clinical decision support system, AI is capable of providing predictable precision orthodontics.
Increased Patient Satisfaction
Multiple factors govern a patient’s trust and satisfaction with the doctor. It has been observed that long waiting hours have negative effects on patient’s satisfaction with the doctor and the treatment. The long queues are attributed to a shortage of staff and slow manual processing of patient data. Studies show that patient satisfaction is directly linked to clinical outcomes. Thus, leveraging technology to boost patient satisfaction is a good idea.
With AI, doctors have noted a significant increase in operational efficiency. Specialized AI programs automatically schedule staff, organize patient appointments (according to available resources) and quickly carry out tasks like dental coding and billing, etc. The latest studies suggest that AI-based tools can augment patient satisfaction by improving the quality of care.
Automated Working
AI has led to the widespread use of advanced automated devices in orthodontics. Doctors report better outcomes with customized fabrication of orthodontic appliances.
Clear Aligners
Automated treatment systems are replacing conventional methods for the better. For example, now we have clear aligners in place of traditional brackets which offer better esthetics, comfort, and acceptability.
Indirect Bonding Trays
Artificial intelligence amplifies chairside efficiency as well. With AI, doctors can fabricate indirect bonding trays that assist in the accurate and quick placement of bondable brackets.
3D Scanning
AI-powered 3D scanning offers matchless accuracy in detail reproduction. Moreover, 3D printing (additive manufacturing) fabricates custom tailored orthodontic appliances.
Final Word
AI’s advent in orthodontics is seen as magical step towards brighter future of healthcare. With the advantages offered by artificial intelligence systems, technology can be leveraged for improved orthodontic outcomes. There are numerous ways in which AI impacts the treatment outcomes. Firstly, it enhances the speed and quality of diagnosis, thanks to the accurate machine learning algorithms.
The artificial neural networks provide consistent and accurate treatment plans. AI’s face-driven orthodontic treatment plans and decision support systems help in solving complex cases. It also helps advise surgical interventions (orthognathic surgery) when needed. By carefully managing large data, AI aids in the delivery of precision orthodontics which guarantees better clinical outcomes. AI also takes up technical/manegarial tasks like staff scheduling, patient appointments, billing, etc. to increase operational efficiency. This also results in augmented patient satisfaction. The automated fabrication of orthodontic appliances (bonding trays, wire bending, clear aligners, etc.) also plays a part in complementing treatment outcomes.
References
- Kazimierczak, N., Kazimierczak, W., Serafin, Z., Nowicki, P., Nożewski, J., & Janiszewska-Olszowska, J. (2024). AI in orthodontics: Revolutionizing diagnostics and treatment planning—A comprehensive review. Journal of Clinical Medicine, 13(2), 344.
- Albalawi, F., & Alamoud, K. A. (2022). Trends and application of artificial intelligence technology in orthodontic diagnosis and treatment planning—A review. Applied Sciences, 12(22), 11864.
- Li, P., Kong, D., Tang, T., Su, D., Yang, P., Wang, H., … & Liu, Y. (2019). Orthodontic treatment planning based on artificial neural networks. Scientific reports, 9(1), 2037.
- Tomášik, J., Zsoldos, M., Majdáková, K., Fleischmann, A., Oravcová, Ľ., Sónak Ballová, D., & Thurzo, A. (2024). The Potential of AI-Powered Face Enhancement Technologies in Face-Driven Orthodontic Treatment Planning. Applied Sciences, 14(17), 7837.
- Kato, R. M., Parizotto, J. D. O. L., Oliveira, P. H. J. D., & Gonçalves, J. R. (2023). Artificial intelligence in orthognathic surgery–a narrative review of surgical digital tools and 3D orthognathic surgical planning. Journal of the California Dental Association, 51(1), 2202444.
- Du, W., Bi, W., Liu, Y., Zhu, Z., Tai, Y., & Luo, E. (2024). Machine learning-based decision support system for orthognathic diagnosis and treatment planning. BMC Oral Health, 24(1), 286.
- Jheon, A. H., Oberoi, S., Solem, R. C., & Kapila, S. (2017). Moving towards precision orthodontics: An evolving paradigm shift in the planning and delivery of customized orthodontic therapy. Orthodontics & craniofacial research, 20, 106-113.
- Kapila, S., Vora, S. R., Rengasamy Venugopalan, S., Elnagar, M. H., & Akyalcin, S. (2023). Connecting the dots towards precision orthodontics. Orthodontics & craniofacial research, 26, 8-19.
- Larasputri, I., & Tri, E. A. (2019). Waiting Time and Patient Satisfaction in Oral Diagnostic Polyclinic, Department of Dentistry, RSUPN dr. Cipto Mangunkusumo. Indian Journal of Public Health Research & Development, 10(10).
- Al-Harajin, R. S., Al-Subaie, S. A., & Elzubair, A. G. (2019). The association between waiting time and patient satisfaction in outpatient clinics: Findings from a tertiary care hospital in Saudi Arabia. Journal of family and community medicine, 26(1), 17-22.
- Nair, D., & Raveendran, K. U. (2024). Consumer satisfaction, palliative care and artificial intelligence (AI). BMJ Supportive & Palliative Care, 14(2), 171-177.