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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
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揭开医学的大型语言模型的神秘性:一本入门书

Qiao Jin1, Nicholas Wan1, Robert Leaman1

  • 1National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD, USA.

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本文为医疗保健专业人员提供了一份指导方针,以有效地在临床环境中使用大型语言模型 (LLM). 它涵盖了任务制定,模型选择,快速工程和部署,以便在医学中安全有效地整合人工智能.

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科学领域:

  • 医疗保健中的人工智能
  • 医疗信息学 医疗信息学
  • 临床决策支持 临床决策支持

背景情况:

  • 大型语言模型 (LLM) 在医疗保健中提供了变革性的潜力.
  • 临床医学可以产生类似人类的反应,并适应新的医疗任务.
  • 应用程序包括临床文档,患者试验匹配和医学问题答案.

研究的目的:

  • 为医疗保健专业人员提供可操作的指导方针,以便有效地利用LLMs.
  • 概述将LLM整合到临床工作流程中的最佳实践.
  • 促进人工智能在医学中的安全,可靠和有影响力的应用.

主要方法:

  • 提出了一个结构化,逐步的方法.
  • 阶段包括任务制定,LLM选择,提示工程,微调和部署.
  • 审查了将LLM适应专业医疗任务的考虑因素.

主要成果:

  • 该指南针对了确定适合LLM的医疗保健任务的关键因素.
  • 讨论了根据任务,数据和绩效选择合适的LLM的策略.
  • 详细介绍了适应LLM的方法,包括快速工程和微调.

结论:

  • 有效的LLM集成需要仔细的任务对齐和模型选择.
  • 快速的工程和微调是专门用于医疗用途的LLM的关键.
  • 部署必须解决监管合规,道德考虑和偏见监测.