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Author

Vesna Miletic

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Open access Nov 2026

Automated Detection of Positioning Errors in Bitewing Radiographs Using Deep Learning

ABSTRACT Objectives Bitewing radiographs (BWs) are essential diagnostic tools in dentistry, but are often affected by positioning errors, compromising their diagnostic value and increasing retake rates. This study aimed to develop and evaluate a deep learning‐based automated system for detecting and classifying BW type...

Katharina Alves Rabelo, Zi-Mo Huang, Eduardo Delamare et al. · 0 citations
Open access Oct 2026

Zirconium oxynitrate etchant improves dentin bonding performance of single-component adhesives: 5-year in-vitro evaluation.

OBJECTIVE To evaluate, using microtensile bond strength (μTBS) testing and in situ zymography, the effects of an experimental zirconium oxynitrate-based etchant [ZrO(NO₃)₂; ZON] on dentin bonding performance and endogenous matrix metalloproteinases (MMPs) activity of two simplified adhesive systems after 5 years of art...

E. Mancuso, C. Mazzitelli, D. D'Urso et al. · 0 citations
#large language models Review Open access Oct 2026

AI-Driven Feedback on Bitewing Radiographic Technique: A Comparative Study of Large Language Models.

LLM-generated feedback varied by model, prompt design and positioning error type, but not consistently across assessment categories, suggesting model differences did not vary across assessment categories.

K. Rabelo, Laura Swinckles, Eduardo Delamare et al. · 0 citations

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