This review scoped artificial intelligence (AI) in paediatric dentistry to summarize current applications and limitations. A comprehensive literature search was completed across PubMed, Google Scholar, Scopus, Embase, IEEE Xplore, and medRxiv/aArXiv. The preferred Reporting Items for Systematic Reviews and Meta-Analyse...
R. Rokhshad, A. Tichý, Jung-Wei Chen et al.· Australian dental journal· 0 citations
INTRODUCTION AND AIMS
The aim of this review was to evaluate applications, methodological characteristics, limitations and future directions of no-code, low-code and automated machine learning (LCNC/AutoML) approaches in healthcare imaging.
METHODS
PubMed, Web of Science, and Google Scholar were searched using terms...
M. Hamdan, Z. Badr, S. E. Uribe et al.· International Dental Journal· 1 citation
Although prompt engineering effectively modulates the sensitivity-precision trade-off, the model's tendency toward over-detection requires rigorous clinical validation and governance before real-world deployment as a public screening tool.
M. Moharrami, Sina Asadi, Owais A. Farooqi et al.· International Dental Journal· 1 citation
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