Large AI Models in Dental Healthcare: From General-Purpose Systems to Domain-Specific Foundation Models
A recent study explores the potential of large AI models in dental healthcare, highlighting the need for a unified review of their capabilities. The research categorizes these models into three types: language-generative, discriminative vision, and dental-specific foundation models. The findings suggest that combining general-purpose and dental-specific models within structured pipelines can enhance performance in addressing oral diseases.
- ▪Oral diseases affect nearly 3.5 billion people globally, yet the clinical potential of large AI models in dentistry is not well understood.
- ▪The study identified three categories of AI models: language-generative, discriminative vision, and dental-specific foundation models.
- ▪Dental-specific models demonstrated the strongest performance on complex multimodal tasks, while general-purpose models excelled in text-based tasks.
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Computer Science > Artificial Intelligence arXiv:2606.02914 (cs) [Submitted on 1 Jun 2026] Title:Large AI Models in Dental Healthcare: From General-Purpose Systems to Domain-Specific Foundation Models Authors:Sema Helali, Lina Abu Nadab, Sausan Alqawas, Alaa Abd-Alrazaq, Faleh Tamimi, Rafat Damseh View a PDF of the paper titled Large AI Models in Dental Healthcare: From General-Purpose Systems to Domain-Specific Foundation Models, by Sema Helali and 5 other authors View PDF HTML (experimental) Abstract:Background: Oral diseases affect nearly 3.5 billion people worldwide, yet the comparative clinical potential of large-scale AI models in dentistry remains poorly understood.
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