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Integrating AI into Dentistry: Technical Pathways and Clinical Applications in Oral Diseases-A Comprehensive
Ying Yuan1, Hao Zhou1, Bo Wang1
1School and Hospital of Stomatology, China Medical University, Shenyang 110002, China.
International Dental Journal
|January 15, 2026
Summary
Artificial intelligence (AI) is transforming oral disease management, improving diagnosis and treatment. This review explores AI
Area of Science:
- Dentistry
- Artificial Intelligence
- Oral Health
Background:
- Artificial intelligence (AI) applications in oral disease management are rapidly expanding.
- AI enhances diagnostic accuracy and clinical decision-making in dentistry.
- Current AI integration covers disease etiopathogenesis, diagnosis, treatment, and postoperative care.
Purpose of the Study:
- To provide a comprehensive overview of AI in dentistry.
- To elucidate AI neural network architectures and implementation methods.
- To evaluate AI model performance in specific dental applications.
Main Methods:
- Literature review of AI applications in dentistry.
- Analysis of neural network architectures and implementation strategies.
- Evaluation of AI model performance across various dental scenarios.
Main Results:
- AI shows significant potential in improving diagnostic accuracy.
- AI supports clinical decision-making for oral diseases.
- The review details specific AI applications and their evaluated performance.
Conclusions:
- AI offers promising advancements for clinical dentistry.
- Future directions include overcoming current limitations for broader AI adoption.
- AI integration is key to advancing oral healthcare management.
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