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[Artificial intelligence-driven smart transformation of complete dentures: current status, challenges, and future
1Department of Prosthodontics, Peking University School and Hospital of Stomatology National Center of Stomatology National Clinical Research Center for Oral Diseases National Engineering Research Center of Oral Biomaterials and Digital Medical Devices NHC Key Laboratory of Digital Stomatology Beijing Key Laboratory for Intelligent Biomanufacturing and Regeneration of Craniofacial Tissues, Beijing 100081, China.
Artificial intelligence (AI) is revolutionizing complete denture restoration by shifting from experience-based to data-driven methods. This review highlights AI
Area of Science:
- Stomatology
- Dental Prosthetics
- Artificial Intelligence in Medicine
Background:
- Traditional complete denture restoration faces challenges like reliance on experience, accuracy issues, and long treatment times.
- Edentulism significantly impacts masticatory function and facial aesthetics, necessitating effective restorative solutions.
- The integration of artificial intelligence (AI) offers a paradigm shift towards data-driven approaches in dental treatments.
Purpose of the Study:
- To systematically review the application of AI in the smart transformation of complete dentures.
- To present the current status of AI technologies across the entire complete denture restoration process.
Main Methods:
- Systematic review of AI applications in complete denture restoration.
- Analysis of AI integration in data acquisition, denture design, fabrication, processing, and post-insertion evaluation.
Main Results:
- AI significantly enhances restoration accuracy, treatment efficiency, and patient satisfaction in complete dentures.
- AI technologies are being applied across all stages of complete denture restoration, from data gathering to follow-up.
- Current AI applications demonstrate a move towards more precise and efficient dental prosthetics.
Conclusions:
- AI is fundamentally transforming complete denture restoration into a more precise, efficient, and personalized process.
- Challenges such as data standardization and model generalizability need to be addressed for wider AI adoption.
- Multidisciplinary collaboration is crucial for advancing AI integration in stomatology and complete denture care.
