人工智能驱动的预测COVID-19相关住院和死亡:一个系统的审查
Saeed Shakibfar1, Fredrik Nyberg2, Huiqi Li2
1Pharmacovigilance Research Center, Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
Frontiers in public health
|July 6, 2023
概括
人工智能 (AI) 模型在预测COVID-19住院和死亡率方面表现有希望. 然而,大多数研究都表现出高偏差风险和有限的适用性,需要进一步验证.
科学领域:
- 医疗信息学 医疗信息学
- 流行病学 流行病学
- 机器学习 机器学习
背景情况:
- 随着COVID-19的流行,人们需要准确预测患者的结果,包括住院治疗和死亡率.
- 人工智能 (AI) 技术为开发预测模型提供了潜在的解决方案.
结论:
- 人工智能技术显示出预测COVID-19住院和死亡率的潜力.
- 尽管报告表现良好,但在审查的AI模型中发现了重大偏差风险和适用性问题.
- 进一步严格的验证对于可靠的AI驱动的临床决策支持在传染病预测中至关重要.
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