Related Experiment Video
Updated: Jan 13, 2026
09:10
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
Published on: August 5, 2021
2.2K
AI-Powered Predictive Models in Implant Dentistry: Planning, Risk Assessment, and Outcomes.
Ghada Neji1, Roberta Gasparro2, Mohamed Tlili1
1Oral and Facial Rehabilitation Research Laboratory, Faculty of Dentistry, University of Monastir, Monastir 5000, Tunisia.
Journal of Clinical Medicine
|January 10, 2026
Summary
Artificial intelligence (AI) is revolutionizing dental implantology, improving diagnostics, planning, and patient outcomes. AI integration enhances efficiency and cost-effectiveness in implant dentistry.
Area of Science:
- Dentistry
- Medical Technology
- Artificial Intelligence
Background:
- Dental implantology is evolving with technological advancements.
- Artificial intelligence (AI) offers transformative potential across various medical fields.
Purpose of the Study:
- To review current and emerging AI applications in dental implantology.
- To explore AI's role in diagnostics, digital planning, navigation, and outcome prediction.
Main Methods:
- Narrative review of AI technologies in implant dentistry.
- Focus on machine learning, neural networks, and computer vision.
- Examination of AI in digital planning, surgical navigation, and disease monitoring.
Main Results:
- AI enhances diagnostics, digital planning, and surgical navigation.
- AI aids in predicting treatment outcomes like peri-implantitis and implant failure.
- AI integration leads to more efficient, personalized, and cost-effective dental care.
Conclusions:
- AI is significantly impacting dental implantology, improving workflows and patient care.
- Future perspectives highlight the growing importance of AI in clinical implantology.
- Educational strategies are needed to integrate AI into dental training.
