ArticleBioinformation2025
Artificial Intelligence in dentistry: Balancing innovation with ethical responsibility.
Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Informed Consent in AI-Augmented Dentistry and Dental Research: A Scoping Review.Dentistry journal · 2026Review
- Exploring the impact of artificial intelligence on dental education: Benefits, challenges, and future directions - A systematic review of the literature.Journal of education and health promotion · 2026Review
- A Crosstalk Between Periodontal Disease and Human Immunodeficiency Virus: Application of Artificial Intelligence and Machine Learning in Risk Assessment and Diagnosis-A Narrative Review.Dentistry journal · 2025Review
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
The transformative impact of Artificial Intelligence on dentistry, focusing on its applications in diagnostic accuracy, personalized treatment planning and clinical efficiency is of interest. The technical aspects of Artificial Intelligence models like convolutional neural networks and artificial neural networks with the ethical principles guiding its integration and the privacy and security challenges involved are discussed. Regulatory frameworks in the United States and Canada are reviewed, highlighting gaps and opportunities for safe Artificial Intelligence adoption. Good Machine Learning Practices and future research directions to mitigate risks are important. Thus, the importance of ethical and legal considerations for responsible Artificial Intelligence integration in dental practice is highlighted.
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.