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myDentalAI: A Framework for Automatically Accumulating and Utilizing Dental Practice Information.
Shintaro Oka1, Kouichi Sonobe2, Shintaro Nishimoto3
1The University of Osaka Dental Hospital, Japan.
Studies in Health Technology and Informatics
|August 8, 2025
Summary
A new AI system predicts dental procedures from videos and logs, aiming to assist dentists and prevent medical accidents. This artificial intelligence model achieved over 75% accuracy in identifying five treatment categories.
Area of Science:
- Artificial Intelligence in Dentistry
- Medical Informatics
- Clinical Decision Support Systems
Background:
- Dental treatment procedures require precise execution to ensure patient safety and treatment efficacy.
- Real-time monitoring and prediction of dental procedures can aid clinicians in preventing medical errors.
- Existing systems lack advanced AI capabilities for real-time dental procedure analysis.
Purpose of the Study:
- To develop and evaluate an AI system for predicting dental treatment procedures.
- To assist dentists by providing real-time insights during dental operations.
- To reduce the incidence of medical accidents in dental practice through AI-driven assistance.
Main Methods:
- Development of an artificial intelligence (AI) system integrating video recordings of dental treatments.
- Utilizing operation logs from dental treatment units as input data for the AI model.
- Training and validation of the AI model to predict specific dental treatment categories.
Main Results:
- The AI system demonstrated the capability to predict dental treatment procedures.
- Five distinct treatment categories were accurately predicted by the system.
- The prediction model achieved an F1-score exceeding 75% for the identified categories.
Conclusions:
- The developed AI system shows significant potential for real-time dental procedure prediction.
- This technology can serve as a valuable tool for dentists, enhancing procedural accuracy and patient safety.
- Further development could lead to widespread adoption of AI for preventing medical accidents in dentistry.
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