在临床医学和神经科学中成功实施人工智能的挑战和伦理考虑:叙述性审查
Scott Monteith1, Tasha Glenn2, John R Geddes3
1Department of Psychiatry, Michigan State University College of Human Medicine, Traverse City Campus, Traverse City, MI, USA.
Pharmacopsychiatry
|August 29, 2023
概括
临床人工智能 (AI) 预测工具的安全使用取决于人类智能. 医生必须参与人工智能选择,实施和监测,以便有效地融入医疗实践.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
- 医疗保健中的人工智能
背景情况:
- 临床人工智能 (AI) 预测工具提供了潜在的好处,但需要仔细实施.
- 将人工智能整合到医疗保健中需要了解它对医疗工作流程和患者安全的影响.
结论:
- 临床AI预测工具的有效使用与人类监督和专业知识密切相关.
- 将人工智能整合到医疗实践中需要一种协作方法,优先考虑安全,并承认人类临床判断的不可替代价值.
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