Designing a Smartphone Application for Detection of Oral Bite Force Using Artificial Intelligence

Area of Science:

• Biomedical Engineering
• Dental Technology
• Digital Health

Background:

• Abnormal bite force is a significant factor in oral disease development.
• Current bite force detection methods lack comprehensive visual applications for diagnosis and treatment.
• The field of bite force analysis remains underexplored.

Purpose of the Study:

• To design and develop a smartphone application for intelligent detection and analysis of oral bite force.
• To create a visual tool to aid dentists in diagnosing and treating oral diseases related to bite force.
• To enable real-time monitoring and intervention of bite force in clinical practice.

Main Methods:

• Development of intelligent software with modules for data reception, transmission, and analysis.
• Utilization of Bluetooth wireless technology for transmitting, storing, and analyzing bite simulation data.
• Implementation of sensor data visualization through single or multiple line graphs.

Main Results:

• The application presents sensor data graphically, aiding dental diagnosis and treatment planning.
• Biofeedback is provided to patients through various output modes based on pre-set thresholds, promoting self-correction.
• Real-time monitoring and intelligent feedback capabilities for clinical practice.

Conclusions:

• The developed smartphone application offers a novel approach to bite force monitoring and management.
• It aims to improve oral disease diagnosis and treatment by achieving a dynamic equilibrium in the oral maxillofacial system.
• The application facilitates a quantitative, controllable, and predictable level of disease management.