大型语言模型的潜力可以促进精确瘤学的发展
Shufan Liang1, Jiangjiang Zhang2, Xingting Liu1
1Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
EBioMedicine
|April 30, 2025
概括
大型语言模型 (LLM) 在瘤学中显示出对癌症诊断和治疗等任务的希望. 本综述探讨了准确瘤学LLM应用,挑战和未来准确瘤学方向.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 正在医学领域迅速发展.
- 大型语言模型 (LLM) 正在成为临床研究中的强大工具.
- 通过分析文本和图像数据,LLM已经证明了治疗瘤的潜力.
研究的目的:
- 审查LLMs的发展和医疗功能.
- 详细阐述LLMs在各种瘤学任务中的作用.
- 概述当前的障碍,并为精密瘤学LLM实施提出解决方案.
主要方法:
- 对LLM开发和建设策略的审查.
- 分析LLM在癌症查,诊断,转移识别,分期和治疗建议中的应用.
- 讨论LLM在处理临床数据和文档方面的能力.
主要成果:
- LLM 可以解码用于癌症管理的各种临床数据.
- 应用范围从初始查到治疗建议.
- 确定的挑战包括幻觉,伦理问题和有限的应用.
结论:
- 在精确瘤学方面,LLM为推进精确瘤学提供了巨大潜力.
- 解决目前的障碍对于更广泛,更有效的实施至关重要.
- 需要进一步的创新,以充分利用LLMs在癌症护理.
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