语音和语言治疗师的AI教程:将人工智能文献的概念翻译成可访问的知识和临床相关的应用
Ana Oliveira-Buckley1, Barry O'Sullivan2, Cristina McKean3
1Department of Speech and Hearing Sciences, University College Cork, Cork, Ireland.
本教程解释了用于语音和语言治疗师 (SLT) 的人工智能 (AI),揭开了AI技术,能力和临床实践中的应用. 它促进道德的人工智能使用,以支持,而不是取代SLTs.
科学领域:
- 语音和语言治疗 (SLT)
- 人工智能 (AI) 是一种人工智能.
背景情况:
- 在SLT中AI的临床采用受到临床医生中AI素养较低的阻碍.
- 人工智能术语往往是抽象的,对于非技术医疗保健专业人员来说很难理解.
研究的目的:
- 为SLTs提供量身定制的基础AI知识.
- 将人工智能概念组织成技术,能力和临床应用.
- 促进AI在SLT实践中的理解和采用.
主要方法:
- 综合基础AI文献,分类学和SLT研究.
- 使用临床类比来解释复杂的AI概念.
- 提供与儿科SLT相关的实际例子.
主要成果:
- 对欧盟人工智能法定义的临床医生专注的解释.
- 人工智能技术,能力和应用的结构化解释.
- 一个将临床需求与人工智能设计结合起来的模型.
- 讨论SLT中AI的伦理和监管方面的考虑.
结论:
- 人工智能包括在SLT中支持临床应用的能力启用技术.
- 本教程旨在促进安全,道德和负责任的AI集成.
- 人工智能应该被视为临床医生的辅助工具,而不是替代.
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