关于人工智能驱动心脏病学的伦理考虑和挑战的叙述性审查
Dev Patel1, Chandramouli Chetarajupalli2, Saad Khan3
1Lokmanya Tilak Municipal Medical College, Mumbai, India.
Annals of medicine and surgery (2012)
|August 25, 2025
概括
心脏病领域的人工智能 (AI) 提高了诊断和治疗能力,但也带来了伦理风险. 解决偏见,隐私和问责制对于负责地将人工智能整合到患者护理中至关重要.
科学领域:
- 心脏病学
- 医学伦理
- 人工智能
背景情况:
- 人工智能正在改变心脏病学,提高诊断精度,预后准确性和治疗计划.
- 人工智能在医疗保健中的整合引发了重要的伦理问题,包括数据偏差,患者隐私和问责制.
- 越来越需要应对这些挑战, 以最大限度地发挥人工智能在心血管患者护理方面的潜力.
研究的目的:
- 进行叙述性审查,探索与心脏病学相关的道德挑战.
- 确定关键的伦理问题,包括人工智能培训数据集和数据隐私方面的偏见.
- 检查人工智能的影响
- 黑盒子
- 在临床决策过程中需要透明度和问责制.
主要方法:
- 采用了一个叙述性审查方法.
- 文献搜索侧重于心脏病学中人工智能的伦理挑战.
- 分析的主要主题包括偏见,隐私,透明度和问责制.
主要成果:
- 人工智能提高了诊断和治疗心血管疾病的准确性.
- 人工智能整合的风险包括加剧医疗保健差异和患者数据安全问题.
- 缓解策略包括道德框架,多样化的数据集以及临床医生与人工智能的合作,
结论:
- 人工智能为心脏病学带来了变革的机遇,但成功取决于解决道德,技术和监管障碍.
- 促进公平,透明和隐私的强有力的框架对于人工智能实施至关重要.
- 局限性包括缺乏现实世界的验证和持续监督的需要.
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