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紧急医疗中的人工智能. 一个系统的文献审查
Konstantin Piliuk1, Sven Tomforde1
1Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany.
紧急医疗中的人工智能 (AI) 正在增长,但缺乏泛化. 未来的工作应该集中在综合的人工智能解决方案上,以实现更好的临床决策和患者结果.
科学领域:
- 计算机科学 计算机科学
- 医学 医学 医学 医学 医学
- 人工智能的人工智能
背景情况:
- 紧急医疗需要快速,数据驱动的决策,使人工智能至关重要.
- 目前在紧急医疗领域的人工智能应用是分散的,并面临监管障碍.
- 现有研究经常使用不同的数据和算法,限制了可比性.
结论:
- 人工智能越来越多地应用于紧急医疗,但研究往往是孤立的.
- 缺乏复杂的方法和概括,阻碍了当前的人工智能应用.
- 开发端到端的人类-人工智能交互解决方案可以解决现有的挑战,并改善人工智能在紧急护理中的作用.
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