Statement of problem Artificial intelligence (AI) models have been developed for periodontal
applications, including diagnosing gingivitis and periodontal disease, but their accuracy and …

In the global epidemic era, oral problems significantly impact a major population of children.
The key to a child's optimal health is early diagnosis, prevention, and treatment of these …

Background Dental plaque causes many common oral diseases (eg, caries, gingivitis, and
periodontitis). Therefore, plaque detection and control are extremely important for children's …

Objectives To determine the validity and reliability of novel digitalized tools for dental plaque
detection and explore the benefits and limitations connected to their use. Data Reporting …

The use of fluorescence spectroscopy for plaque detection is a fast and effective way to
monitor oral health. At present, there is no uniform specification for the design of the …

Fluorescent biomarkers are important indicators of disease, but imaging them can require
specialized and often-expensive devices. Periodontal and dental diseases resulting from …

Background Significant numbers of adults and children have untreated plaque due to poor
oral hygiene and consequently suffer from associate dental and systemic diseases. Methods …

Purpose Precise diagnosis and identification of early dental caries facilitates timely
intervention and reverses the progression of the disease. Developing an objective, accurate …

We report a smartphone based multispectral imager (MSI), a promising tool for point-of-care
(POC) testing, which utilizes a bio-inspired MSI chip to capture both the spectral and spatial …

Objective The aim of this study was to identify the factors derived from the 405 nm laser-
induced autofluorescence (AF) spectra that could be used to diagnose and stage caries …