Early diagnosis of dental diseases is crucial for preventing irreversible tissue damage and improving patient outcomes. Recent advancements in artificial intelligence (AI) combined with salivary biomarker analysis offer a promising approach for non-invasive, rapid, and accurate detection of oral pathologies. Salivary biomarkers, including proteins, enzymes, metabolites, and nucleic acids, reflect both local and systemic disease states. Integration of AI algorithms allows automated pattern recognition, predictive modeling, and individualized risk assessment based on complex biomarker profiles. This novel model enhances early detection of dental caries, periodontal diseases, and oral cancers, enabling personalized treatment strategies and improved preventive care [1, 2, 3].