NL Journal of Dentistry and Oral Sciences
(ISSN: 3049-1053)

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Artificial Intelligence in Oral Implantology: A Narrative Review of Current Applications, Challenges and Future Directions

Author(s) : Arpit Sikri*, Jyotsana Sikri.
DOI : 10.71168/NDO.03.01.141

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Abstract

The field of oral implantology has witnessed remarkable technological evolution, and the integration of artificial intelligence (AI) promises to further advance diagnostics, treatment planning, surgical execution, and postoperative monitoring. This narrative review explores how AI—including machine learning (ML), deep learning (DL), convolutional neural networks (CNNs), robotics, and augmented reality (AR)/virtual reality (VR) systems—is being applied in dental implantology. Key areas of application include anatomical landmark detection, bone quality assessment, implant position planning, implant outcome prediction, and automated prosthetic design. Current limitations, such as data quality and quantity, lack of standardization, ethical and legal concerns, and challenges in clinical integration, are also highlighted. Finally, future prospects—including personalized implant strategies, fully automated surgical systems, and enhanced decision-support tools—are discussed. By synthesizing recent literature, this review aims to provide prosthodontists and implantologists with an updated perspective on AI’s transformative potential in implant dentistry. Keywords: Artificial intelligence, Deep learning, Dental implants, Image analysis, Implant-prosthesis, Implantology, Machine learning, Robotics, Treatment planning.

This article licensed under the Creative Commons Attribution 4.0 International License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.