Exploration of oral microbiota alteration and AI-driven non-invasive hyperspectral imaging for CAD prediction.

ABSTRACT:

Background

Oral microbiome dysbiosis is an important risk factor affecting the occurrence and progression of coronary artery disease (CAD). However, the dysbiosis on the tongue in patients with CAD is still unclear, and whether the oral alteration caused by these disorders can be identified by other tools for CAD diagnosis needs to be further explored. Hyperspectral imaging (HSI) is characterized as high spectral resolution, broad spectral range, and superior spatial resolution. Hyperspectral images contain high-dimensional data that generally require machine learning algorithms for feature identification and model construction. Therefore, this study aims to investigate the variation of tongue microbiota and the effectiveness of HSI models in CAD diagnosis.

Methods

Between 2

SUBMITTER: Li Z 

PROVIDER: S-EPMC11829377 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature