Artificial intelligence driven dental monitoring and surveillance of malocclusion treatment in orthodontic patients

Abstract

Background: Orthodontic treatment success does not only depend on proper diagnosis and treatment, but also on patient’s compliance. Patient’s progress and compliance can be monitored through in-office visits at certain time intervals. However, this interval is not necessarily ideal for every patient. Purpose: To overcome this limitation, Dental Monitoring® (DM) is introduced as artificial intelligence (AI) driven remote monitoring, which analyzes tooth movement, oral hygiene, and the condition of orthodontic appliances. This study aimed to describe the clinical application of DM based on the number of in-office visits, duration of treatment, number of refinements, stability of retention phase, tooth movement, patient's oral hygiene, and patient’s subjective perception regarding DM. Review: Based on five articles included, the use of DM during orthodontic treatment had several advantages including the increase of patient’s compliance on maintaining oral hygiene and significant reduction of in-office visits, thus increasing the treatment’s effectiveness and comfort for patients. Duration of treatment and number of refinements that do not differ significantly between DM and non-DM users are considered as DM’s other advantages as it could reduce in-office visits without compromising treatment’s effectiveness. Orthodontic relapse can also be identified hence severe relapse can be prevented. Conclusion: The clinical application of DM can reduce in-office visits, improve oral hygiene and retention stability. However, the use of DM must be carefully considered to prevent decline in doctor-patient relationships