Can Artificial Intelligence Help to Prevent and Manage Oral Infections: A Review

Maryam  Pourhajibagher; Steven  Parker; Nariman  Nikparto; Rashin  Bahrami; Abbas  Bahador

doi:10.18502/jcr.v13i1.21475

Maryam Pourhajibagher Dental Research Center, Dentistry Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Steven Parker Faculty of Health and Life Sciences, De Montfort University, Leicester, UK.
Nariman Nikparto Private Practice, Nastaran Dental Clinic, Tehran, Iran
Rashin Bahrami Department of Orthodontics, School of Dentistry, Iran University of Medical Sciences, Tehran, Iran.
Abbas Bahador Department of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

DOI: https://doi.org/10.18502/jcr.v13i1.21475

Keywords: Artificial intelligence; Biofilms; Dental caries; Internet of things; Periodontitis.

Abstract

Introduction: This study aimed to answer “Can artificial intelligence help to prevent and manage oral infections? How can it help us? What we know and what we do not know?”.

Materials and Methods: Artificial intelligence-driven Internet of Things systems enable real-time monitoring of the oral environment and early identification of cariogenic and inflammatory factors. In the present narrative review, the authors used keywords such as “Artificial Intelligence”, “Biofilms”, “Dental Caries”, “Internet of Things”, and “Periodontitis”. They conducted a literature search via Google Scholar and PubMed from January 2015 to November 2025.

Results: Artificial intelligence algorithms have shown high accuracy in diagnosing oral and periodontal diseases, predicting microbial resistance, and optimizing antimicrobial therapies. Integration of artificial intelligence with antimicrobial robots represents a promising approach for biofilm detection, degradation, and targeted removal. These technologies collectively enhance personalized dental care and support preventive, data-based decision-making in dentistry.

Conclusion: Artificial intelligence and Internet of Things integration offer transformative potential in oral healthcare by improving early detection, prevention, and management of oral infections. However, further clinical studies, data standardization, and ethical considerations are necessary for safe and effective implementation of these technologies in dental practice.