人工智能在传染病诊断决策和治疗管理中的伦理使用
Prasan Kumar Panda1, Sukanya Ghosh2
1Department of Medicine (ID Division), All India Institute of Medical Sciences, Rishikesh, India.
IDCases
|September 29, 2025
概括
医疗保健中的人工智能 (AI) 提供了改进的传染病诊断和抗菌药物管理. 负责的人工智能部署需要解决隐私和公平等道德挑战,以全球框架为指导.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 医疗信息学医学信息学
- 生物伦理学生物伦理学
背景情况:
- 人工智能 (AI) 正在彻底改变医疗保健,特别是在传染病诊断和抗菌药物管理方面.
- 人工智能集成带来了重大的伦理挑战,包括透明度,患者隐私,算法公平性,问责制和人类监督.
研究的目的:
- 讨论在传染病诊断和抗菌药物管理中对负责任的AI部署的伦理要求.
- 概述人工智能在医疗保健中整合的最佳实践,确保患者的信任,安全和公平.
主要方法:
- 在临床实践中审查与人工智能相关的伦理挑战.
- 全球和国家人工智能治理框架的分析 (WHO,FDA,欧盟人工智能法,ICMR).
- 讨论负责的人工智能实施的伦理要求和最佳实践.
主要成果:
- 人工智能在传染病诊断和抗菌药物管理中提供了更高的准确性,效率和预测能力.
- 关键的伦理问题包括决策透明度,患者隐私,算法公平性,问责制和人类监督.
- 国际指导方针为解决医疗保健中的AI伦理提供了框架.
结论:
- 在传染病诊断和抗菌药物管理中,负责任的AI部署至关重要.
- 遵守道德原则和既定的框架是必要的,以减轻风险,并确保公平的患者结果.
- 最佳实践对于培养对人工智能驱动的医疗保健创新的信任和安全至关重要.
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