人工智能驱动病学:大语言模型在护理中的作用
American journal of nephrology
|August 28, 2025
概括
人工智能 (AI) 正在通过改善临床护理和患者的结果来改变科. 在人类监督和监管机构的批准下,负责任地采用人工智能是最大限度地提高其对病管理的好处的关键.
科学领域:
- 肝脏病学
- 医疗信息学
- 人工智能
背景情况:
- 人工智能 (AI) 正在越来越多地影响包括科在内的医学专业.
- 大型语言模型 (LLM),决策支持系统和预测分析等人工智能工具在病管理,透析,移植和相关并发症方面具有重大潜力.
- 一般人工智能平台有助于知识综合,而专门系统则提供验证的临床决策支持.
研究的目的:
- 探索人工智能在科中的影响和应用.
- 讨论人工智能整合在护中的好处和挑战.
- 强调负责任的人工智能采用和监管方面的重要性.
主要方法:
- 对目前科人工智能技术的审查,包括LLM和检索增强生成 (RAG).
- 在预测慢性病风险,透析管理和支持移植方面分析人工智能应用.
- 讨论人工智能准确性,透明度和道德考虑等挑战.
主要成果:
- 人工智能工具可以预测CKD风险,优化透析,帮助移植决策.
- 获取增强生成 (RAG) 通过实时数据增强了LLM,提高了准确性,但需要高质量的数据和道德遵守.
- 挑战包括适应复杂的案件和确保数据隐私.
结论:
- 人工智能在科的整合需要提高准确性,透明度和无的临床工作流程整合.
- 监管部门的批准和验证对于建立对人工智能医疗工具的信任至关重要.
- 人类监督的道德和负责任的采用对于人工智能来说至关重要,
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