数字健康政策和网络安全法规关于人工智能 (AI) 在医疗保健中的实施
Abdullah Virk1, Safanah Alasmari2, Deepkumar Patel3
1Department of Ophthalmology, Flaum Eye Institute, University of Rochester, Rochester, USA.
Cureus
|April 16, 2025
概括
在医疗保健中实施人工智能 (AI) 需要人工智能培训的透明度和强有力的网络安全措施. 解决这些问题可以确保安全有效的AI集成,以改善患者护理和数据保护.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 随着数字工具和人工智能 (AI) 的日益普及,医疗保健正在迅速发展.
- 人工智能在各种医疗保健领域提供了潜在的好处,从数据分析到临床决策.
- 人工智能的整合需要仔细考虑相关的挑战.
研究的目的:
- 分析将人工智能 (AI) 模型应用于医疗保健系统的可行性.
- 确定成功将人工智能整合到医疗保健中的关键因素.
- 突出挑战,并为医疗领域的AI采用提出解决方案.
主要方法:
- 对英语出版物的系统文献综述.
- 搜索了包括SCOPUS,PubMed和谷歌学者在内的数据库.
- 包括2000年至2024年间发表的研究.
主要成果:
- 人工智能可以增强大规模数据集分析,医疗信息获取,手术模拟和临床决策.
- 潜在的挑战包括医疗责任,网络安全风险和健康差异.
- 人工智能算法培训和多样化数据的透明度对于信任和通用性至关重要.
- 加强网络安全措施和更新的卫生政策对于安全实施至关重要.
结论:
- 在医疗保健中成功实施人工智能取决于算法的透明度和强大的网络安全协议.
- 解决伦理和安全问题对于实现人工智能在患者护理中的全部潜力至关重要.
- 合作和更新的数字政策对于安全和创新的医疗保健进步至关重要.
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