ArticleBioinformation2025
Recent dental practices using Artificial Intelligence (AI): A survey.
Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigates the integration of Artificial Intelligence in contemporary dental practices, focusing on its impact and implementation. A structured survey administered to 150 dental professionals evaluates awareness, adoption rates and perceived benefits of artificial intelligence technologies in dentistry. Simulated data reveals emerging trends in artificial intelligence applications, including diagnostic accuracy, treatment planning efficiency and patient management optimization. Findings highlight a growing acceptance of artificial intelligence, noting its potential to enhance diagnostic precision and streamline treatment processes while addressing challenges related to technology integration and practitioner training. This research provides insights into the evolving role of artificial intelligence in dental settings and informs future directions for optimizing artificial intelligence integration in the field.
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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.