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F. Schwendicke

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#artificial intelligence Review Open access Sep 2026

No-Code and Low-Code Artificial Intelligence in Healthcare Imaging: A Scoping Review.

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. · 1 citation
Open access Jul 2026

Detecting Dental Caries Using General-Purpose Large Multimodal Models From Oral Photographs.

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. · 1 citation

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