Evaluation of Toothbrushing Techniques Using the Modified Bass Technique Algorithm
Keywords:
Modified Bass Technique, Toothbrushing Evaluation, Oral Hygiene, Dental Plaque, Algorithmic Assessment, Random Forest Classifier, Gingival Health.Abstract
To prevent gum disease, periodontal disease, and tooth decay, it is essential to maintain good oral hygiene.
There are several ways to brush your teeth, but the Modified Bass Technique (MBT) is widely regarded as
the gold standard for removing plaque from the gum line and beyond. However, people still struggle to
execute it consistently due to its complexity. To compare the efficacy of MBT with that of conventional
brushing techniques, this research proposes a combined clinical and algorithmic methodology. Fifty
preclinical dentistry students were separated into two groups: one that received MBT and another that
received a control. After 28 days, the students included in the trial were followed up. After completing
structured training, participants in the MBT group underwent clinical evaluations, as well as assessments
utilizing a rule-based approach that incorporated video analysis and a Random Forest classifier. The results
demonstrated that the MBT group experienced significantly lower ratings for plaque and gingival bleeding
(p < 0.01), especially in areas between the two joints. Scores for method adherence reported by the
algorithmic evaluation were consistent with those of clinical examiners. To improve oral hygiene practices
and provide objective assessment models for brushing technique quality, these findings advocate the use
of structured MBT training and algorithmic feedback.