ArticleJournal of dental sciences2025
DeepSeek: Another step forward in the diagnosis of oral lesions.
Article in Journal of dental sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Comparative Benchmark of Seven Large Language Models for Traumatic Dental Injury Knowledge.European journal of dentistry · 2026Article
- The Performance of Large Language Models on Antibiotic Prophylaxis for Endodontic Treatments.Australian endodontic journal : the journal of the Australian Society of Endodontology Inc · 2026Article
- Performance Comparison of a Domain-Specific Chatbot and General-Purpose Chatbots in Dental Traumatology.Dental traumatology : official publication of International Association for Dental Traumatology · 2026Article
- Applications of DeepSeek in Medicine: Bibliometric Analysis and Scoping Review.Journal of medical Internet research · 2026Article
- Performance of ChatGPT-4, Gemini, and DeepSeek-V3 in answering the prompt-engineered questions from the Taiwan National Dental Technician Licensing Examination over a three-week period.Journal of dental sciences · 2026Article
- Performance of ChatGPT-4, Gemini, and DeepSeek-V3 on English-translated questions from the Taiwan national dental Technician Licensing examination over a three-week period.Journal of dental sciences · 2026Article
- Multimodal large language models for oral lesion diagnosis: a systematic review of diagnostic performance and clinical utility.Frontiers in oral health · 2026Review
- Performance of ChatGPT-4o, Gemini Advanced-2.0, and DeepSeek-V3 in the diagnosis and management of temporomandibular disorders.BMC oral health · 2025Article
- Evaluating large language models using national endodontic specialty examination questions: are they ready for real-world dentistry?BMC medical education · 2025Article
- Performance of ChatGPT-4, Gemini, and DeepSeek-V3 on answering the multiple choice questions from Taiwan national dental technician licensing examinations and their self-learning abilities over a three-week period.Journal of dental sciences · 2025Article
- Comparison of ChatGPT and DeepSeek large language models in the diagnosis of pericarditis.World journal of cardiology · 2025Article
- Positive sentiments in early academic literature on DeepSeek: a cross-disciplinary mini review.Frontiers in artificial intelligence · 2025Review
- Evaluation of the accuracy of large language models in answering bone cancer-related questions.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.