心脏和人工智能 - - 我们如何在不造成伤害的情况下改进医学?
Christoph Reich1,2,3, Benjamin Meder4,5,6,7
1Department of Internal Medicine III, Precision Digital Health, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.
Current heart failure reports
|June 8, 2023
概括
人工智能 (AI) 在医疗保健,特别是心脏病领域提供了重大机遇,但面临着数据隐私法规带来的挑战. 解决这些道德和法律方面的考虑是推动人工智能在医学领域的关键.
科学领域:
- 心血管医学 心血管医学
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 数字化和人工智能在医疗保健,特别是心脏病学中越来越重要.
- 智能医疗数据提供了机会和弱点.
- 人工智能能力和隐私立法之间存在着越来越大的差距.
研究的目的:
- 在心脏病学中审查人工智能和机器学习.
- 要突出AI在心血管医学中的应用.
- 讨论人工智能在医疗保健中的伦理和法律考虑.
主要方法:
- 关于心脏病学中的AI和机器学习的文献综述.
- 对影响人工智能实施的伦理和法律框架的分析.
- 审查数据隐私法规及其影响.
主要成果:
- 人工智能在医疗保健中的整合有望改善患者护理和降低成本.
- 一般数据保护法规原则可能会阻碍人工智能发展.
- 确保数据完整性和解决法律/道德问题至关重要.
结论:
- 人工智能和机器学习对心血管医学具有变革性的潜力.
- 将人工智能创新与隐私保护相平衡,对于欧洲的领导地位至关重要.
- 伦理和法律框架必须不断发展,以支持在医疗保健中采用人工智能.
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