DeepSeek Advancing Oral Lesion Diagnosis with Language Models
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This paper from the Journal of Dental Sciences evaluates the diagnostic capabilities of the large language model DeepSeek-R1 for oral lesions. Researchers compared DeepSeek-R1's accuracy on text-based case descriptions from the New England Journal of Medicine against ChatGPT-4o and the journal readers, finding DeepSeek-R1 achieved the highest accuracy. The study highlights AI's potential in oral medicine diagnosis, particularly where specialized training is limited, while noting DeepSeek's current lack of direct image analysis. The findings suggest DeepSeek-R1 is a promising tool for medical professionals in diagnosing oral diseases based on textual information.
Márcio Diniz-Freitas, Pedro Diz-Dios,
DeepSeek: Another step forward in the diagnosis of oral lesions,
Journal of Dental Sciences,
2025,https://doi.org/10.1016/j.jds.2025.02.023.
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