关于应用大型语言模型来支持癌症护理和研究的叙事审查
Ryzen Benson1,2, Marianna Elia1,2, Benjamin Hyams1,2,3
1Department of Radiation Oncology, University of California, San Francisco, San Francisco, California.
Yearbook of medical informatics
|April 8, 2025
概括
大型语言模型 (LLM) 在促进癌症治疗,帮助临床决策支持,患者教育和研究方面表现有前途. 未来的发展应该优先考虑开源的LLM和强大的评估指标,以加强癌症信息学.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 大型语言模型 (LLM) 正在改变信息学研究.
- 临床癌症医学提供了改善临床癌症护理,预防和研究的巨大潜力.
研究的目的:
- 对LLM在癌症护理中的近期应用进行叙事审查.
- 确定并介绍有关LLM在瘤学中的应用的有影响力的研究.
主要方法:
- 在Scopus数据库中搜索了有关BERT和GPTLLMs在癌症护理方面的研究.
- 包括2021年1月至2023年12月间发表的研究.
主要成果:
- 法学士的应用包括临床决策支持 (治疗规划,查,不良事件管理),癌症教育 (问答,粉碎神话,文本简化) 和研究支持 (写作,队列识别,数据处理).
- 在治疗反应评估和以NLP为中心的研究任务等多个领域,LLM的实用性得到了证明.
结论:
- 在各种癌症护理应用中,LLM显示出相当大的前景.
- 未来的研究应该专注于对LLM工具的定量和定性评估,并优先考虑开发用于瘤学的开源LLM.
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