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医学学生对大型语言模型的意见的试点研究

Alan Y Xu¹, Vincent S Piranio¹, Skye Speakman¹

¹Department of Medicine, University of Florida College of Medicine, Gainesville, USA.

|November 20, 2024

概括

医学学生越来越多地使用像ChatGPT这样的大型语言模型 (LLM) 来进行教育和患者护理. 大多数人发现LLM信息准确,并计划在未来的医疗实践中使用这些AI工具.

科学领域:

医学教育医学教育
人工智能在医学中的应用
医疗信息学医疗信息学

背景情况:

人工智能 (AI) 和大型语言模型 (LLM) 在医疗保健领域越来越突出.
基于LLM的聊天机器人,如ChatGPT,正在成为学生可访问的医疗资源.
了解当前的LLM利用和医学学生之间的看法至关重要.

研究的目的:

调查医学学生如何在他们的教育中利用基于LLM的工具.
检查医学学生对LLM工具准确性和实用性的看法.
从学生的角度评估人工智能在医疗实践中的未来作用和整合.

主要方法:

在2024年1月,佛罗里达大学医学院的医学学生中进行了一项横截面调查.
该调查重点关注的是AI和LLM工具的利用以及AI在医学上的观点.
102名医学学生参与了调查.

主要成果:

所有受访者都知道LLM聊天机器人;69%的人每月使用它们用于医疗目的.
77.1%的人认为LLM生成的信息准确,80%的人打算继续使用它们.
以前的AI知识和暴露与LLM使用量增加,信息交叉检查以及对临床决策中AI的信任相关.

结论:

士课程聊天机器人被整合到医学学生的学习习惯,患者护理和研究中.
医学学生通常对LLM聊天机器人有积极的看法,并预计它们未来的使用.
整合人工智能教育到医学课程中有很大的机会,为学生准备其不断变化的角色.

关键词:

人工智能的人工智能是人工智能.聊天聊天聊天大型语言模型医学教育医学教育调查调查调查调查调查调查调查调查

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