DOI
10.1016/j.jds.2025.02.023
First Page
1904
Last Page
1907
Abstract
Abstract Artificial intelligence (AI) is increasingly being explored as a tool for medical diagnosis, particularly in fields with limited specialized training, such as oral medicine. This study evaluates the performance of DeepSeek-R1, an open-source large language model (LLM), in diagnosing oral diseases and conditions using text-based case descriptions from the New England Journal of Medicine's “Image Challenge.” Results indicate that DeepSeek-R1 achieved a diagnostic accuracy of 91.6 %, slightly outperforming ChatGPT-4o (88.9 %) and significantly exceeding the 47.8 % accuracy of the journal’ readers. While DeepSeek lacks direct image interpretation capabilities, it demonstrates high proficiency in textual diagnostic tasks. These findings suggest that DeepSeek-R1 could be a valuable aid for medical professionals in diagnosing oral diseases.
Recommended Citation
Diniz-Freitas, Márcio and Diz-Dios, Pedro
(2025)
"DeepSeek: Another step forward in the diagnosis of oral lesions,"
Journal of Dental Sciences: Vol. 20:
Iss.
3, Article 3.
DOI: 10.1016/j.jds.2025.02.023
Available at:
https://jds.ads.org.tw/journal/vol20/iss3/3
