Applications and challenges of DeepSeek in the field of medical research
10.3760/cma.j.cn113565-20250303-00054
- VernacularTitle:DeepSeek在医学科研领域的应用和挑战分析
- Author:
Huimin MA
1
;
Xuesong ZHU
1
;
Yitao XU
1
Author Information
1. 苏州大学附属第一医院科研部 215006
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
DeepSeek;
Large language models;
Medical research
- From:
Chinese Journal of Medical Science Research Management
2025;38(5):431-435
- CountryChina
- Language:Chinese
-
Abstract:
Objective:This study aimed to analyze the advantages, scenarios, and challenges of the domestic AI model DeepSeek in the field of medical research.Methods:Based on the technical characteristics of DeepSeek, combined with hospital deployment cases and literature, research and analysis were conducted.Results:DeepSeek had many advantages in the field of medical research, including facilitating the release of data value, decision-making visualization, ensuring data localization, and high accessibility. It can be applied in scenarios such as the construction of multimodal research databases, literature retrieval and analysis, acceleration of new drug development, research data processing and analysis, academic writing assistance, and research management. However, it also faced challenges such as research integrity, privacy security, the transformation of human-machine collaboration paradigms, and fairness.Conclusions:DeepSeek has broad application prospects in the field of medical research, but it also faces many challenges. These challenges need to be addressed prudently and collaboratively to better leverage the potential of artificial intelligence in medical research.
