视角:在睡眠医学中推广安全机器学习工具方面,住院医生的作用
Colin M Smith1, Martina Vendrame1
1Lehigh Valley Fleming Neuroscience Institute, Lehigh Valley Health Network, Allentown, Pennsylvania.
概括
接受培训的医生可以在睡眠医学中推进安全的机器学习. 建立基础真相,考虑变量,确保透明度是开发可靠的人工智能工具的关键.
科学领域:
- 睡眠医学 睡眠医学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 机器学习 (ML) 工具在睡眠医学中越来越多地使用.
- 确保这些人工智能工具的安全性和有效性至关重要.
研究的目的:
- 突出居民和研究员在促进睡眠医学中安全的ML工具方面的作用.
- 强调在这个领域开发可靠的人工智能的关键考虑因素.
主要方法:
- 讨论在机器学习发展中确定基本真相的重要性.
- 考虑ML模型性能的关键变量.
- 在AI工具创建中优先考虑透明度和问责制.
主要成果:
- 在培训中的医生可以积极为安全开发ML工具做出贡献.
- 理解,沟通和合作对于进步至关重要.
结论:
- 居民和研究员有很大的机会影响睡眠医学中安全的ML的进步.
- 专注于基本真相,变量考虑和透明度将促进可信的人工智能解决方案.
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