ReviewJournal of pharmacy & bioallied sciences2025
Exploring the Role of Artificial Intelligence in Dental Implantology: A Scholarly Review.
Review in Journal of pharmacy & bioallied sciences, 2025. 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
- Comparative accuracy analysis of robotic and static guided implant surgery: a retrospective clinical study.BMC oral health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of Artificial Intelligence (AI) in implant dentistry has emerged as a transformative approach, enhancing precision, efficiency, and predictability across various stages of treatment. This narrative review explores the utilization of AI in implant dentistry, emphasizing its role in diagnosis, treatment planning, surgical execution, and post-operative care. AI-based technologies, such as machine learning algorithms, neural networks, and computer vision, are being increasingly utilized to interpret diagnostic imaging, predict implant outcomes, and customize treatment protocols tailored to individual patient needs. Moreover, the review highlights advancements in AI-driven robotic systems, virtual reality (VR) tools, and augmented reality (AR) platforms, revolutionizing surgical precision and clinician training. Ethical considerations, integration challenges, and future AI prospects in implant dentistry are also discussed to provide a comprehensive overview. This review underscores AI's potential to redefine clinical workflows and improve patient outcomes, offering insights into its applications and limitations in contemporary dental practice.
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.