层次和希望:通过对在线话语的专题分析,探索AI在医学中的作用
Johan Pushani1, Sherwin Rajkumar1, Alishya Burrell2
1Department of Paediatrics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
PLOS digital health
|January 30, 2026
概括
医学中的人工智能 (AI) 被视为一种增强和替代工具. 一项研究发现,医疗保健专业人员对人工智能表现出有偏见的想法.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 定性研究方法 定性研究方法
背景情况:
- 人工智能 (AI) 在医学中的整合是医疗保健界正在进行的辩论的主题.
- 了解未来和当前医疗专业人员对人工智能的机会和威胁的看法,对于其有效实施至关重要.
研究的目的:
- 探索医学中人工智能 (AI) 在医学前学生,医学学生和医生中所感知的机会和威胁.
- 确定与人工智能对医疗保健角色和专业动态的潜在影响相关的主题.
主要方法:
- 对来自Reddit子reddits (r/premed,r/medicalschool,r/medicine) 的评论进行了定性主题分析.
- 在2022年12月至2023年8月期间,搜索中使用了"AI"",chatGPT"",openAI"和"人工智能"等术语.
- 基于Braun和Clarke (2006) 框架的编码方案应用于47个线程中的2403条评论.
主要成果:
- 确定的主要主题是人工智能增强与替代,人们认为较低层次的医疗角色是最有风险的.
- 人工智能被视为提高学习,笔记,查和分类等任务效率的工具.
- 一个重要的发现是,医疗保健专业人员对人工智能的影响存在社会层次和偏见的思维,这可能会影响合作和患者护理.
结论:
- 虽然人工智能通常被认为是一种效率工具,但医疗保健社区中的偏见对其最佳整合构成挑战.
- 解决这些偏见的心态至关重要,以防止角色值,不信任和合作问题,最终确保积极的患者护理结果.
- 像Reddit这样的在线平台提供了对医学中人工智能的微妙专业态度的宝贵见解.
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