Effectiveness of AI-driven remote monitoring technology

Dental Monitoring AI article review

1. Effectiveness of AI-driven remote monitoring technology in improving oral hygiene during orthodontic treatment VIVIAN SNIDER, ET AL.

2. KEY WORDS ARTIFICIAL INTELLIGENCE, DENTAL MONITORING, ORAL HYGIENE

3. ABSTRACT OBJECTIVE: this study aimed to evaluate the effectiveness of Dental Monitoring (DM) Artificial Intelligence Driven Remote Monitoring (AIDRM) technology in improving the patient’s oral hygiene during orthodontic treatment through AI-based personalized notifications.

4. INTRODUCTION Excellent oral hygiene is essential during orthodontic therapy for success of treatment and patient’s overall health. Oral hygiene declines rapidly after bonding fixed appliances. Oral hygiene includes both gingival health and presence of plaque on the teeth. Both require different indices to measure the parameters.

5. OPI- Orthodontic Plaque Index – measures the presence and pattern of plaque around the adhesively bonded bracket as a score of 0-4 indicating the location of plaque accumulation relative to the bracket base(mesial, distal, occlusal/incisal and cervical) with average scores from 0-1 indicating good oral hygiene. Scores of 3 or higher indicate poor oral hygiene MGI-Modified Gingival Plaque Index- relies solely on visual evaluation of the gingival tissues. Rating scale from 0-4. 0- indicates healthy gingiva and 4 indicates the most severe inflammation.

6. An invivo prospective clinical study was conducted on 2 groups of orthodontic patients at the University of Illinois Chicago’s orthodontic clinic. Inclusion criteria: Patients treated with labially placed fixed orthodontic brackets, good generalized physical and oral health, above 14 yrs , good manual dexterity, daily access to a smartphone with a working camera and internet access. Professional prophylaxis before bonding appointment and dental clearance from GP. Oral hygiene instructions given to both groups. Dm group (n=24) monitored by DM weekly scans and received personalized notifications on the DM smartphone app regarding hygiene status. Control group (n=25) not monitored by DM. Both groups assessed using Ortho plaque index(OPI) and modified gingival index(MGI). DM group followed 13 months Control group followed for 5 months. Student independent T test and paired T tests were used to investigate the mean differences between study groups and between time points for each group respectively. MATERIALS AND METHODS

7. MATERIALS AND METHODS Weekly DM scans with ScanBox

8. MATERIALS AND METHODS At bracket adjustment appointments disclosing tablets were used and photographs taken

9. Dental Monitoring

10. RESULTS At all time points, the mean differences indicated that the DM group had lower OPI and MGI values than the control group. Mean value for OPI and MGI were statistical significantly lower in the DM group(OPI=1.96, MGI=1.56) than in the control group (OPI=2.41, MGI= 2.17) after 5 months. A rapid increase in mean OPI and MGI values were found between T0 and T1 for both study groups. A plateau effect for OPI scores occurred from T1 to T5 for both study groups, but plateau effect was more pronounced for the DM group than the study group. MGI values for both groups increased dramatically from baseline to T5, however a plateau effect was not observed.

11. RESULTS Changes in OPI and MGI in Study Groups

12. CONCLUSIONS The oral hygiene of orthodontic patients rapidly worsens over the first 3 months and plateaus after about 5 months of treatment. Artificial intelligence driven remote monitoring technology by weekly dental monitoring scans and personalized active notifications may improve oral hygiene over time in orthodontic patients

13. REFERENCES EFFECTIVENESS OF AI-DRIVEN REMOTE MONITORING TECHNOLOGY IN IMPROVING ORAL HYGIENE DURING ORTHODONTIC TREATMENT.VIVIAN SNIDER,KAREN HOMSI, ET AL. ORTHOD CRANIOFAC RES. 2023(Suppl.1): 102-110.