Authors: Kuang Yuan, Mohamed Ibrahim, Yiwen Song, Guoxiang Deng, Suvendra Vijayan, Robert Nerone, Akshay Gadre, Swarun Kumar
Published on: February 02, 2024
Impact Score: 8.22
Arxiv code: Arxiv:2402.01933
Summary
- What is new: ToMoBrush uses off-the-shelf sonic toothbrushes for at-home dental condition detection.
- Why this is important: Lack of accessible dental disease detection tools for widespread use.
- What the research proposes: A system that analyzes the acoustic signals produced by a sonic toothbrush to detect dental conditions.
- Results: Achieved detection ROC-AUC of 0.90 for caries, 0.83 for calculus, and 0.88 for food impaction with validation from dental experts.
Technical Details
Technological frameworks used: nan
Models used: Tooth resonance signature extraction from acoustic signals
Data used: Acoustic signals from toothbrushes, participant & dental-standard model data
Potential Impact
Dental care and oral hygiene product markets, telehealth services
Want to implement this idea in a business?
We have generated a startup concept here: SoniDent.
Leave a Reply