ArticleJournal of pharmacy & bioallied sciences2025
Impact of AI-Driven Technologies on Patient Satisfaction in General Dentistry: A Systematic Review and Meta-Analysis.
Article 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 1 paper.
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
1 citing paper in PubMed.
- Artificial Intelligence in Oral and Maxillofacial Surgery-A Narrative Review.Journal of clinical medicine · 2026Review
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
Background: Artificial intelligence (AI) technologies have increasingly been incorporated into general dentistry, offering potential advancements in diagnostic accuracy, patient care, and communication. Methods: A systematic review and meta-analysis were conducted to evaluate the effects of AI-driven technologies on patient satisfaction in general dentistry. Studies published between January 2010 and the present were included, focusing on AI applications such as diagnostic tools, virtual assistants, robotic systems, and teledentistry. Results: The meta-analysis included 1225 patients across seven studies, with 350 patients experiencing non-significant effects of AI technologies. The pooled effect size for patient satisfaction was 1.16 (95% CI: 1.11-1.22; Z = 41.75, Conclusion: AI-driven technologies demonstrated a significant positive impact on patient satisfaction in general dentistry. Enhanced diagnostic precision, personalized care, and effective communication were the key contributors to improved outcomes.
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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.