Visualization of artificial intelligence applications in oral disease diagnosis: A bibliometric analysis

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Oral diseases affect approximately 3.5 billion people globally, with a prevalence rate of up to 45%, making them a significant health threat.
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Traditional diagnostic methods for oral diseases rely on subjective judgment, which can compromise accuracy and consistency.
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Artificial intelligence (AI) has been integrated into dental practice to enhance the speed, accuracy, and efficiency of diagnostic processes.
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Current research hotspots in AI for dentistry include disease diagnosis, orthodontic intervention, and maxillofacial morphological segmentation.
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A bibliometric analysis identified trends and core themes in AI-based oral disease diagnosis, highlighting the need for further research in this area.

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