Abstract
DeepSeek, an open-source multimodal Large Language Model (LLM), was launched by the Chinese startup (Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd.). Despite the lack of advanced artificial intelligence (AI) chips, the performance of its milestone version, “DeepSeek-V3,” has set an unprecedented benchmark among LLMs, surpassing existing models. Notably, the opportunity to deploy this model in the local system helps build better-performing “distilled versions” suitable for medical research (hypothesis generation, drafting patient consent forms and biostatistical analysis, etc.) and clinical practice (differential diagnosis from symptom clusters, current guideline-based treatment protocol design, interactive medical training, personalized patient education, etc.). However, privacy and security risks, ethical uncertainties, and diversified global AI regulations hinder its potential for sustainable integration into real-world applications.
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References
Normile, D. Chinese firm’s large language model makes a splash. Science. 387(6731):238, 2025. https://doi.org/10.1126/science.adv9836.
Gibney, E. Scientists flock to DeepSeek: how they’re using the blockbuster AI model. Nature. 2025. https://doi.org/10.1038/d41586-025-00275-0.
Liu, A., B. Feng, B. Xue, B. Wang, B. Wu, C. Lu, C. Zhao, C. Deng, C. Zhang, C. Ruan, D. Dai. Deepseek-v3 technical report. arXiv preprint arXiv:2412.19437, 2024.
Bologa, C., C. Lionte, D. Halit, and C. Luca. Neurosyphilis Masquerading as Stroke in an 84-year-old. J Crit Care Med (Targu Mures). 3(2):70–72, 2017. https://doi.org/10.1515/jccm-2017-0009.
Esteitieh, Y., S. Mandal, G. Laliotis. Towards Metacognitive Clinical Reasoning: Benchmarking MD-PIE Against State-of-the-Art LLMs in Medical Decision-Making. medRxiv. 2025:2025-01.
Ahmad, A. A. I., K. A. Jalil. A New Approach in Mitigating Adversarial Attacks on Machine Learning. In: 2024 IEEE Symposium on Wireless Technology & Applications (ISWTA), Kuala Lumpur, Malaysia, 2024, pp. 184-188. https://doi.org/10.1109/ISWTA62130.2024.10652080.
Kassianik, P., A. Karbasi. Evaluating Security Risk in DeepSeek and Other Frontier Reasoning Models. 2025. Available from: https://blogs.cisco.com/security/evaluating-security-risk-in-deepseek-and-other-frontier-reasoning-models.
DeepSeek Privacy Policy. DeepSeek. 2025. Available from: https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html.
Cuthbertson A. Where in the world is DeepSeek banned and why? The Independent. 2025. https://www.independent.co.uk/tech/deepseek-ban-map-countries-ai-china-b2691924.html.
The Dangers of Using DeepSeek. Office of Innovative Technologies. The University of Tennessee, U.S. 2025. Available from: https://oit.utk.edu/news/the-dangers-of-using-deekseek/.
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A.M.: Conceptualization, Data Curation, Writing—Original draft preparation, Supervision. S.T.S.: Conceptualization, Data Curation, Writing—Reviewing and Editing. A.I.: Methodology, Writing–Original draft preparation, Writing–Reviewing and Editing. M.M.: Validation, Writing—Original draft preparation, Writing—Reviewing and Editing. All authors read and approved the final manuscript.
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MohanaSundaram, A., Sathanantham, S.T., Ivanov, A. et al. DeepSeek’s Readiness for Medical Research and Practice: Prospects, Bottlenecks, and Global Regulatory Constraints. Ann Biomed Eng 53, 1754–1756 (2025). https://doi.org/10.1007/s10439-025-03738-7
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DOI: https://doi.org/10.1007/s10439-025-03738-7