ArticleAustralian dental journal2025
Artificial Intelligence in Australian Dental and General Healthcare: A Scoping Review.
Article in Australian dental journal, 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.
- Informed Consent in AI-Augmented Dentistry and Dental Research: A Scoping Review.Dentistry journal · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review contextualises the role of generative Artificial Intelligence (AI) in healthcare within an Australian healthcare regulatory and ethical framework. Four online databases (PubMed, Scopus, CINAHL and Web of Science) were searched for peer-reviewed publications that addressed at least two of the three topics: (1) the current applications of AI in dentistry and healthcare; (2) data security and privacy in AI-enhanced healthcare; (3) ethical, legal and clinical implications of machine errors, and the delegation of healthcare responsibilities to large technology companies. A total of 31 articles were retrieved for full-text analysis using traditional and AI-assisted software. All studies showed promising use of AI to enhance clinical decision-making, automate administrative tasks and augment personalised care. However, integrating AI into the Australian healthcare context introduces complex ethical, regulatory and legal considerations that include bias, data privacy and ambiguous chains of responsibility. To maximise the benefits of AI technologies while safeguarding patient rights, practitioners and developers must establish regulatory frameworks, mandate practitioner training, foster multidisciplinary collaboration and maintain continuous rigorous oversight.
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.