Toward Digital Periodontal Health: Recent Advances and Future Perspectives.

Area of Science:

• Oral Health
• Biomedical Engineering
• Artificial Intelligence

Background:

• Periodontal diseases, including gingivitis and periodontitis, are widespread oral infections affecting over half the world's population.
• These conditions involve gum and bone inflammation, posing significant risks to oral health and linked to systemic diseases like cardiovascular conditions.
• Early detection and prevention are crucial public health objectives, with artificial intelligence (AI) offering promising technological integration.

Purpose of the Study:

• To review current research on identifying periodontal disease causes and progression.
• To explore the role of AI in enhancing early detection and treatment strategies for periodontal diseases.
• To highlight the importance of early intervention and encourage interdisciplinary research in AI-driven periodontal diagnostics.

Main Methods:

• Comprehensive literature review of existing research on periodontal diseases.
• Analysis of studies focusing on causative factors and disease progression.
• Examination of AI applications in the diagnosis and management of periodontal conditions.

Main Results:

• Periodontal diseases are linked to systemic health issues, emphasizing their public health significance.
• AI technologies show potential for improving the accuracy and efficiency of early periodontal disease detection.
• Current research highlights the need for further exploration of AI in clinical practice.

Conclusions:

• Early detection and intervention are vital for improving patient outcomes in periodontal disease management.
• AI integration presents a significant opportunity to advance the diagnosis and treatment of periodontal diseases.
• Further collaboration between clinicians, bioengineers, and AI specialists is essential to realize AI's full potential in this field.