Artificial intelligence (AI) in restorative dentistry: current trends and future prospects

Area of Science:

• Dental Technology
• Artificial Intelligence in Dentistry
• Restorative Dentistry Innovations

Background:

• Traditional restorative dentistry faces challenges in clinical variability and diagnostic accuracy.
• Artificial intelligence (AI) offers consistent, precise, and data-driven solutions for dental care.
• AI applications are expanding across various dental specialties beyond restorative dentistry.

Purpose of the Study:

• To conduct a comprehensive literature review on AI applications in restorative dentistry.
• To explore AI's role in caries detection, endodontics, dental restorations, and more.
• To identify emerging trends and future research directions for AI in dental practice.

Main Methods:

• Systematic review of English-language studies published between 2020 and January 2025.
• Analysis of 63 peer-reviewed publications focusing on AI in restorative dentistry.
• Adherence to PRISMA guidelines for transparent study selection and reporting.

Main Results:

• AI demonstrates high diagnostic accuracy, achieving up to 95% in caries detection.
• AI improves treatment planning efficiency, reducing patient chair time.
• Predictive analytics powered by AI show significant promise for personalized dental treatments.

Conclusions:

• AI integration in restorative dentistry provides precision-driven solutions for enhanced patient outcomes.
• Key challenges include data privacy, algorithmic bias, and the need for standardized AI training.
• Future research should focus on integrating AI with technologies like 3D printing and developing dental AI education.