Editorial: Revolutionizing dentistry: the impact of AI and new algorithms on diagnostics, treatment, and patient engagement
Abstract
One of the central themes emerging from this collection is the expanding role of AI in diagnostics.The systematic review on multimodal large language models for oral lesion diagnosis underscores the growing potential of integrating textual and visual data to enhance diagnostic accuracy. By combining clinical descriptions with imaging inputs, these models represent a significant step toward comprehensive, context-aware diagnostic systems. Their clinical utility lies not only in improving detection rates but also in supporting clinicians in complex decision-making scenarios, particularly in cases involving subtle or ambiguous lesions.Complementing this perspective, the systematic review published in the present issue, which uses non-invasive quantitative methods to assess blood flow in periodontal and oral soft tissues, highlights the importance of objective, quantifiable diagnostic metrics. While not exclusively AI-driven, many of these technologies are increasingly being integrated with AI algorithms to enable real-time analysis and interpretation. The ability to measure microvascular changes non-invasively has profound implications for monitoring periodontal and peri-implant diseases, offering a pathway to earlier intervention and more precise evaluation of treatment outcomes.In alignment with these advances, the introduction of novel diagnostic tools such as the GF-Periodontal Assessment Protocol (GF-PAPro) [2] and the GF-Periodontal Diagnosis and Risk Assessment (GF-PeDRA…
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