Journal of Clinical Medicine· 2025Q2· Review
AI-Powered Predictive Models in Implant Dentistry: Planning, Risk Assessment, and Outcomes
- 24citations
- Q2SCImago
- 2025year
Short summary
AI models are enhancing dental implantology by improving digital planning, surgical navigation, risk assessment, and outcome prediction, leading to more personalized and cost-effective treatments.
AI-generated from the title and abstract; the full text is not read.
Key points
- AI technologies are transforming diagnostics, digital planning, and intraoperative navigation in implant dentistry.
- Machine learning, neural networks, and computer vision are key AI applications in this field.
- AI aids in risk assessment and prediction of treatment outcomes, including peri-implantitis and implant failure.
- Integration of AI leads to more efficient workflows, personalized treatments, and better cost-effectiveness.
AI-generated from the title and abstract; the full text is not read.
Abstract
Artificial intelligence (AI) is rapidly transforming the landscape of dental implantology by enhancing every stage of treatment, from diagnostics and digital planning to intraoperative navigation, outcome prediction, and long-term follow-up. This narrative review explores the current and emerging applications of AI technologies in implant dentistry, with a focus on machine learning, neural networks, and computer vision. It examines how AI is utilized in digital implant planning, surgical navigation, peri-implant disease monitoring, risk assessment, and the prediction of treatment outcomes such as peri-implantitis and implant failure. These innovations contribute to more efficient workflows, more personalized treatment strategies, and improved cost-effectiveness of care. Finally, future perspectives and educational implications of AI integration in clinical implantology are discussed.
The authors' abstract, as published at the source. Journal of Clinical Medicine, 2025 · DOI ↗
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Field: Oral Surgery
Oral SurgeryDentistry