ReviewCureus2026
Use of Artificial Intelligence in Dental Implant Navigation Systems: A Scoping Review.
Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Artificial Intelligence in Implant Dentistry: Clinical Validity, Diagnostic Performance, Surgical Planning, and Medico-Legal Implications-A Narrative Review.Dentistry journal · 2026Review
- Artificial intelligence prediction of implant placement difficulty based on bone morphology and anatomical constraints.Journal of oral biology and craniofacial researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is transforming dental implant navigation systems, making implant surgeries more precise, efficient, and predictable. This scoping review examines how AI improves implantology, covering planning, surgery, and follow-up care, based on studies from 2019 to 2025. AI uses advanced computer programs to analyze 3D scans, automatically planning implant positions with high accuracy. During surgery, AI guides tools in real time, adjusting for jaw movements to place implants within a fraction of a millimeter of the plan. These systems reduce mistakes, shorten surgery time by up to 30%, and improve how implants bond with bone. AI also predicts long-term implant success by analyzing patient data, helping dentists plan better follow-up care. Despite these benefits, challenges remain. AI systems can be hard to understand, raising concerns about trust and reliability. They may work less well for some patient groups if trained on limited data, and strict regulations can slow their use in clinics. High costs also limit access, especially for smaller practices. Ethical issues, like protecting patient data and ensuring fair access to AI tools, are important to address. The review shows AI systems achieve very small errors, less than 2 degrees in angle and 0.5 mm in position, compared to traditional methods. Looking ahead, combining AI with technologies like augmented reality could make surgeries even more accurate, while predicting implant durability could improve outcomes. This scoping review highlights how AI can make implantology more personalized and tailored to each patient. Dentists are encouraged to use AI carefully, combining it with their expertise to provide better care. This work offers a clear guide for implantologists navigating the growing role of AI in dental implant surgery.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.