ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2025
ChatGPT versus DeepSeek in head and neck cancer staging and treatment planning: guideline-based study.
Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 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.
- ChatGPT Versus DeepSeek in Resectability Categorization of Chronic Rhinosinusitis: A Comparison Based on EPOS 2020.World journal of otorhinolaryngology - head and neck surgery · 2026Article
- Commercial large language models for oral cavity cancer staging using descriptive pre-treatment MRI reports: ready for standalone use in clinical practice?Insights into imaging · 2026Article
- Discordance Between Textual Reasoning and Visual Interpretation in Large Language Models for Low Back Pain: Cross-Sectional Quantitative Evaluation and Exploratory Multimodal Stress Test.JMIR medical informatics · 2026Article
- Article
- Construction of Customized Personas for Decision-Making Cognition Regarding Oral Microbiota Transplantation in Head and Neck Cancer Patients Undergoing Radiotherapy: A Qualitative Study.Healthcare (Basel, Switzerland) · 2026Article
- Applications of DeepSeek in Medicine: Bibliometric Analysis and Scoping Review.Journal of medical Internet research · 2026Article
- Response to: "ChatGPT and deepseek in head and neck cancers: objective scales could strengthen AI research in Medicine".European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Article
- ChatGPT and deepseek in head and neck cancers: objective scales could strengthen AI research in medicine.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Article
- Accuracy of large language models in head and neck cancers: a comparative analysis of ChatGPT and Gemini in TNM staging and clinical decision support.Frontiers in oncology · 2026Article
- Artificial intelligence in multidisciplinary tumor boards enhancing decision making and clinical outcomes in oncology.iScience · 2025Review
- Promoting Responsible DeepSeek Deployment in Health Care: Scoping Review Comparing Grey and White Literature.Journal of medical Internet research · 2025Article
- Article
- Assistive, not autonomous: Generative artificial intelligence in head and neck cancer care - A scoping review.Digital healthReview
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeThis prospective simulation study was conducted to evaluate and compare the performance of ChatGPT (o1, 2023) and DeepSeek (V3, 2024) in staging and treatment planning for head and neck cancers.
methodsThis prospective simulation study was conducted in March 2025 to evaluate and compare the performance of two advanced artificial intelligence (AI) models, ChatGPT (o1, 2023) and DeepSeek (V3, 2024), in clinical decision-making for head and neck malignancies. A total of 50 hypothetical, guideline-based clinical scenarios were carefully designed in English by two otorhinolaryngologists in alignment with the National Comprehensive Cancer Network® (NCCN®) Guidelines Version 2.2025.
resultsIn the overall analysis of treatment planning performance, DeepSeek (V3, 2024) demonstrated statistically superior accuracy compared to ChatGPT (o1, 2023) (p = 0.04). Both models showed comparable performance in tumor staging (p = 0.83). Both DeepSeek (p = 0.0001) and ChatGPT (p = 0.02) were statistically successful in respect of staging accuracy and providing fully correct answers on the subject of treatment.
conclusionAlthough DeepSeek V3 demonstrated promising capability for clinical decision support in head and neck oncology, these artificial intelligence tools cannot replace multidisciplinary tumor boards. However, they can significantly streamline clinical workflows by rapidly organizing patient data, thereby enhancing board efficiency. Future efforts should prioritize the development and integration of secure, institution-specific, local large language models tailored for oncological decision-making.
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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.