关于LLMs注册研究的主题和特征
Christian Thiele1, Gerrit Hirschfeld1
1Bielefeld University of Applied Sciences.
Studies in health technology and informatics
|October 3, 2025
概括
大型语言模型 (LLM) 越来越多地用于医疗服务研究,重点是诊断和临床支持,而不是治疗或药物发现. 目前的临床试验强调了它们作为利用语言和推理能力的辅助工具的作用.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 临床研究 临床研究
背景情况:
- 大型语言模型 (LLM) 对医疗保健应用有希望,但由于临床试验发布时间长,经验证据很少.
- 临床试验注册提供了对未来研究方向和预期出版物的早期见解.
研究的目的:
- 识别和描述使用在clinicaltrials.gov.gov上注册的LLM的研究.
- 总结LLM相关临床研究的主要目的和主题.
主要方法:
- 基于关键词的临床试验.gov.gov的选.
- 手动检查确定的研究.手动检查确定的研究.
- 分析研究开始日期,主要目的和研究主题.
主要成果:
- 确定了94项涉及LLM的研究,所有研究的开始日期为2023年或以后.
- 法学士研究经常集中在医疗服务研究上",治疗"是不太常见的主要目的.
- 关键主题包括诊断,临床建议和支持功能.
结论:
- 目前的临床试验主要评估LLM作为语言和推理任务的辅助工具.
- 在注册的临床研究中,LLM尚未被广泛探索用于治疗,预防或药物发现.
- 重点是利用LLM的能力来增强医疗保健运营和决策支持.
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