What type of study is this?

This is a Systematic Review study (also classified as: Meta-Analysis).

September 5, 2025Medical SciencesOpen Access

Artificial Intelligence Models for Diagnosis of Periodontitis Using Non-Invasive Biological Markers: A Systematic Review and Meta-Analysis of Patient-Based Studies

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Systematic review and meta-analysis reveal AI models improve diagnostic accuracy in periodontitis, highlighting salivary biomarkers.

AI models demonstrated high diagnostic accuracy for periodontitis, indicating potential for improved clinical detection.
Pooled sensitivity reached 0.89 and specificity 0.87, suggesting reliability in distinguishing periodontitis cases.
Meta-analysis included seven studies utilizing various AI models and biomarkers, reinforcing findings across diverse datasets.
Findings highlight the importance of salivary biomarkers, achieving a higher pooled AUC—indicating superior diagnostic performance.

Ardila et al. (2025) studied this question.

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