Remotely-controlled orthodontics: fundamentals and description of the Dental Monitoring system

Roisin, L; Brézulier, Damien; Sorel, Olivier

doi:10.1051/odfen/2016021

Cited by 28 publications

(28 citation statements)

References 12 publications

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“…A recent new tool for remote monitoring is Dental Monitoring ® (DM, Paris, France), a software-based program that allows patients to capture their occlusion using a smart phone and a scan box. It consists of three integrated platforms: a mobile app for the user, a movement-tracking algorithm, and a web-based Doctor Dashboard®, where the clinician can check the treatment progress, teeth movement, integrity of appliances, and oral hygiene status through the analysis of pictures that are periodically taken by the patient [ 19 ]. Such remote monitoring is especially important in times of COVID-19 pandemic, as it allows maintaining continuity of care, while minimizing the risk of disease transmission and optimizing the use of resources [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of remote digital monitoring on oral hygiene of orthodontic patients: a prospective study

et al. 2021

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Background Remote digital monitoring during orthodontic treatment can help patients in improving their oral hygiene performance and reducing the number of appointments due to emergency reasons, especially in time of COVID-19 pandemic where non-urgent appointments might be discouraged. Methods Thirty patients scheduled to start an orthodontic treatment were divided into two groups of fifteen. Compared to controls, study group patients were provided with scan box and cheek retractor (Dental Monitoring®) and were instructed to take monthly intra-oral scans. Plaque Index (PI), Gingival Index (GI), and White Spot Lesions (WSL) were recorded for both groups at baseline (t0), every month for the first 3 months (t1, t2, t3), and at 6 months (t4). Carious Lesions Onset (CLO) and Emergency Appointments (EA) were also recorded during the observation period. Inter-group differences were assessed with Student's t test and Chi-square test, intra-group differences were assessed with Cochran’s Q-test (significance α = 0.05). Results Study group patients showed a significant improvement in plaque control at t3 (p = 0.010) and t4 (p = 0.039), compared to control group. No significant difference was observed in the number of WSL between the two groups. No cavities were detected in the study group, while five CLO were diagnosed in the control group (p = 0.049). A decreased number of EA was observed in the study group, but the difference was not significant. Conclusions Integration of a remote monitoring system during orthodontic treatment was effective in improving plaque control and reducing carious lesions onset. The present findings encourage orthodontists to consider this technology to help maintaining optimal oral health of patients, especially in times of health emergency crisis.

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Section: Introductionmentioning

confidence: 99%

Effects of remote digital monitoring on oral hygiene of orthodontic patients: a prospective study

et al. 2021

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“…This is beneficial, both for the orthodontist and the patient, in an increasingly timeconscious world. The orthodontist can improve treatment and chairside efficiency, while the patients avoid the extra financial and time costs of traveling to the practice [6,7]. Areas with limited access to orthodontic care can benefit greatly from remote monitoring as regular appointments become unfeasible [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, customized appliances such as clear aligner treatment may take full advantage of remote monitoring due to the preprogrammed tooth movement. Consequently, appointments requiring simple evaluation may be eliminated [7].…”

Section: Introductionmentioning

confidence: 99%

Clinical outcomes and patient perspectives of Dental Monitoring® GoLive® with Invisalign®—a retrospective cohort study

2020

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Background The aims of the study were to compare the effects of Invisalign® with and without Dental Monitoring® (DM) GoLive® on the following parameters: treatment duration, number of appointments, number of refinements, total number of refinement aligners, and time to initial refinement. The patients’ perspectives on Dental Monitoring® were also evaluated using an online questionnaire. A sample of 155 consecutively treated Invisalign® patients (67 control, 88 DM) fit the inclusion and exclusion criteria. Results The two groups were homogeneous (P > .05) for age, gender, angle classification, Little’s Irregularity Index, and number of initial aligners. The DM group had significantly fewer office visits compared to the control (7.56 vs 9.82; P < .001). There were no significant differences between the DM and control groups respectively pertaining to treatment duration (14.58 vs 13.91), number of refinements (1.00 vs 0.79), number of refinement aligners (19.91 vs 19.85), and time to first refinement (9.46 vs 9.97). Questionnaire results showed that 68.8% (44 respondents) indicate that DM scans were “easy” or “very easy” to perform while 16 responders (25%) found it “difficult” or “very difficult.” 71.9% (46 responders) were “satisfied or very satisfied” with the level of communication with the orthodontist using DM and 16% (10 responders) were “dissatisfied” or “very dissatisfied.” The mean duration observed by patients to take a scan was 5.16 ± 3.6 min. Eighty-eight percent (56 responders) of patients prefer few office visits as possible, while 12% (8 responders) would actually prefer additional office visits. Overall, the mean satisfaction of patients with DM was 4.25 on the 5-point Likert scale. Conclusion The DM group had a significantly reduced number of appointments (7.56) compared with the control group (9.82) (a reduction of 23%) over the treatment duration. There were no significant differences between the two groups in treatment duration, number of refinements, number of refinement aligners, or time to 1st refinement. Overall, DM was well received by patients. However, there was a small percentage (usually less than 15%) that was generally unsatisfied with DM in varying aspects and preferred more frequent, traditional office visits.

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“…In this paper this telemedicine system is used for frequent clinical evaluation of aligners tracking on the teeth. This AI TeleHealth system is frequently used in other studies and its accuracy and reliability is well evaluated [ 23 , 26 , 27 , 36 , 37 , 38 ]. How this study examined the true clinical performance of patients with this system is described in Material and methods chapter in more detail.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Orthodontic Smart Application for Treatment Coaching and Its Impact on Clinical Performance of Patients Monitored with AI-TeleHealth System

2021

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Background: Treatment of malocclusion with clear removable appliances like Invisalign® or Spark™, require considerable higher level of patient compliance when compared to conventional fixed braces. The clinical outcomes and treatment efficiency strongly depend on the patient’s discipline. Smart treatment coaching applications, like strojCHECK® are efficient for improving patient compliance. Purpose: To evaluate the impact of computerized personalized decision algorithms responding to observed and anticipated patient behavior implemented as an update of an existing clinical orthodontic application (app). Materials and Methods: Variables such as (1) patient app interaction, (2) patient app discipline and (3) clinical aligner tracking evaluated by artificial intelligence system (AI) system—Dental monitoring® were observed on the set of 86 patients. Two 60-day periods were evaluated; before and after the app was updated with decision tree processes. Results: All variables showed significant improvement after the update except for the manifestation of clinical non-tracking in men, evaluated by artificial intelligence from video scans. Conclusions: Implementation of application update including computerized decision processes can significantly enhance clinical performance of existing health care applications and improve patients’ compliance. Using the algorithm with decision tree architecture could create a baseline for further machine learning optimization.

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Remotely-controlled orthodontics: fundamentals and description of the Dental Monitoring system

Cited by 28 publications

References 12 publications

Effects of remote digital monitoring on oral hygiene of orthodontic patients: a prospective study

Effects of remote digital monitoring on oral hygiene of orthodontic patients: a prospective study

Clinical outcomes and patient perspectives of Dental Monitoring® GoLive® with Invisalign®—a retrospective cohort study

Artificial Intelligence in Orthodontic Smart Application for Treatment Coaching and Its Impact on Clinical Performance of Patients Monitored with AI-TeleHealth System

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