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相关概念视频

Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
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使用大型语言模型人工智能增强临床能力委员会洞察力

Mark A Pittman1,2,3, Carl Ehrett4, Mirinda A Gormley1,2,3

  • 1Department of Emergency Medicine Prisma Health Upstate Greenville South Carolina USA.

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概括

人工智能 (AI) 在评估居民反方面表现有前途,产生比人类评估更高的质量和准确性的评估. 虽然人工智能产生的反是可比或优越的,但它的有用性需要进一步研究.

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科学领域:

  • 医学教育 医学教育
  • 医疗保健中的人工智能
  • 临床能力评估临床能力评估

背景情况:

  • 大型语言模型 (LLM) 提供了增强居民评估的潜力.
  • 有限的研究存在,将AI与临床评估的人类分析进行比较.
  • 本研究评估了LLM AI用于居民反分析.

研究的目的:

  • 评估LLM AI在评估居民反方面的有效性.
  • 将人工智能产生的居民评估与人类产生的评估进行比较.
  • 探索人工智能在简化教师审查过程中的作用.

主要方法:

  • 利用LLM Llama-3.1 70B来分析紧急医疗 (EM) 教育者对31名EM居民的反.
  • 人工智能生成了居民优势,弱点和里程碑性能的总结.
  • 临床能力委员会 (CCC) 成员对人工智能产生的内容质量,准确性,特异性和有用性进行了调查.

主要成果:

  • 人工智能生成的评估比人类评估 (79个字) 长 (391个字).
  • 在质量,准确性和特异性方面,CCC成员对AI内容进行了更有利的评价.
  • 实用性评级偏爱人类生成的内容,尽管人工智能被评为54.1%的可接受性.

结论:

  • 人工智能可以产生EM居民评估,其质量,准确性和特异性与人类评估相当或优于人类评估.
  • 人工智能驱动的评估有可能简化教育工作者审查并减少工作量.
  • 对人工智能产生的反有用性的进一步调查是有必要的.