Work

DeepSeek: Another step forward in the diagnosis of oral lesions

Year: 2025

Type: article

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.

Source: Journal of Dental Sciences

DOI: 10.1016/j.jds.2025.02.023

Authors: Márcio Diniz-Freitas, Pedro Diz-Dios

Institutions: Universidade de Santiago de Compostela, Instituto de Investigación Sanitaria de Santiago

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,600