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紧急医疗的未来是人工智能
1Emergency Departments, CharterCARE Health Partners, Providence and North Providence, RI; Emergency Department, Boston VA Medical Center, Boston, MA; Emergency Departments, Steward Health Care System, Boston and Methuen, MA; Harvard Medical School, Boston, MA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA; Department of Medicine, Brigham and Women's Hospital, Boston, MA.
人工智能 (AI) 和机器学习正准备改变紧急医疗. 这篇文章探讨了AI.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 临床实践 临床实践
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 将彻底改变紧急医疗.
- 了解AI概念对于临床整合至关重要.
研究的目的:
- 讨论人工智能在紧急医疗中的预期演变.
- 探索AI在诊断,预后和治疗中的应用.
- 识别实施障碍和法律挑战.
主要方法:
- 对基本的人工智能概念的审查.
- 分析AI与急诊医学临床实践的关系.
- 检查人工智能应用程序及其相关挑战.
主要成果:
- 人工智能开发将分为3个不同的阶段进行.
- 人工智能在疾病诊断,预后和治疗方面提供了应用.
- 确定了实际,实施,法律和监管方面的问题.
结论:
- 人工智能融入紧急医疗是不可避免的和多方面的.
- 解决实际和监管障碍对于成功采用人工智能至关重要.
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