腎病學中的大型語言模型:慢性腎病管理中的應用與挑戰
Yongzheng Hu1, Jianping Liu2, Wei Jiang1
1Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Renal failure
|September 8, 2025
概括
大型语言模型 (LLM) 通过改善患者教育和减少临床医生的工作负担,为治疗慢性病 (CKD) 提供了新的方法. 然而,必须解决数据隐私和准确性等挑战,以便安全有效地整合到科实践中.
科学领域:
- 人工智能在医学中的应用
- 腎臟病學 (nephrology) 是一種醫學專業.
- 数字健康数字健康
背景情况:
- 慢性病 (CKD) 是一种普遍的疾病,需要复杂,多方面的患者护理.
- 大型语言模型 (LLM) 正在推动人工智能在医疗保健中的潜在应用.
- 目前的CKD管理面临着患者参与和行政负担的挑战.
研究的目的:
- 探索LLMs对慢性病 (CKD) 管理的潜在影响.
- 确定LLM在提高患者教育,临床文档和科决策方面的机会.
- 概述在CKD护理中LLM实施的挑战和未来方向.
主要方法:
- 审查最近在LLMs (对话AI,多式联络整合,自主代理) 的进展.
- 分析早期关于LLM能力改善健康素养和遵守能力的报告.
- 讨论包括隐私,安全,准确性,偏见和道德在内的挑战.
主要成果:
- LLM 显示出改善患者健康素养和治疗坚持能力的潜力.
- 法律法规可能会简化临床文档,并减少科临床医生的行政负担.
- 目前对LLM在脏病学中的安全性和有效性存在有限的现实世界的证据.
结论:
- 法律学士课程为改变CKD护理和教育提供了重大机会.
- 解决隐私,准确性和偏见等挑战对于负责任的LLM部署至关重要.
- 未来的努力需要严格的验证,监管框架和合作,以便在科中公平地整合LLM.
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