装备语音语言临床医生对人工智能驱动的,基于证据的未来进行批判性评估
Nina R Benway1, Jonathan L Preston2
1Department of Electrical and Computer Engineering, University of Maryland, College Park.
Language, speech, and hearing services in schools
|May 15, 2025
概括
语音临床医生可以批判性地评估人工智能 (AI) 工具的临床用途. 本教程提供了评估AI的指南.
科学领域:
- 临床信息学 临床信息学
- 语音语言病理学 语言病理学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越容易用于临床应用.
- 语音临床医生在评估和治疗人工智能工具时面临着挑战.
- 对临床AI的道德和公平使用至关重要.
研究的目的:
- 为临床AI工具的批判性评估提供指导方针.
- 确保人工智能技术与基于证据的框架保持一致.
- 引导人工智能在语音语言病理学中的道德和公平的发展和使用.
主要方法:
- 为道德和公平的临床人工智能开发批判性评估标签.
- 专注于有效性,可靠性,道德使用和公平使用.
- 对临床实践中的AI量身定制的批判性评估框架.
主要成果:
- 评估临床AI有效性,有效性和可靠性的结构化方法.
- 人工智能在语音语言病理学中的道德和公平实施指南.
- 一个标题,以促进AI工具的批判性评估.
结论:
- 临床AI应使用基于证据的框架进行评估.
- 对文化敏感的专业实践是回答人工智能的有效性问题的关键.
- 提供的框架有助于临床医生评估AI工具,以获得最佳的客户护理.
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