医疗保健中的深度搜索:揭示新开源人工智能前沿的机遇和指导挑战
Abdulrahman Temsah1, Khalid Alhasan2,3, Ibraheem Altamimi4
1Software Engineering, Alfaisal University, Riyadh, SAU.
Cureus
|February 20, 2025
概括
开源的DeepSeek LLM提供了新的医疗保健机会,提高了适应性和协作. 然而,有关数据隐私和人工智能偏见的伦理问题需要谨慎管理,以实现负责任的集成.
科学领域:
- 医疗保健领域的生成人工智能 (GAI) 和大型语言模型 (LLM) 的进展.
- 像DeepSeek的DeepThink (R1) 这样的开源LLM的出现,作为专有模式的替代方案.
背景情况:
- 由于成本,适应性和专有性,封闭源LLM在医疗保健中面临障碍.
- DeepSeek的开源方法利用公共数据集进行持续学习和适应性.
- 离线部署能力解决了医疗保健中的一些数据隐私问题.
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