人工智能在医学中的伦理挑战 人工智能在医学中的伦理挑战
Ava L Boudi1, Max Boudi2, Connie Chan3
1Biochemistry, Arizona State University, Tempe, USA.
Cureus
|December 27, 2024
概括
人工智能 (AI) 和机器学习 (ML) 正在通过改进的诊断和治疗来彻底改变医疗保健. 然而,对于负责任的AI实施,必须考虑诸如偏见,隐私和透明度等道德考虑.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 生物信息学是一种生物信息学.
- 医学伦理 医学伦理
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 越来越多地成为医疗保健转型的组成部分.
- 这些技术在诊断准确性,个性化医疗和临床决策支持方面提供了进步.
- 人工智能在医疗保健中的整合也带来了重大的伦理挑战.
研究的目的:
- 审查与医疗保健中的AI相关的伦理问题.
- 探索AI决策中的透明度,偏见,数据隐私和道德责任等问题.
- 通过结构预测,专注于人工智能在加速药物和遗传治疗发现方面的作用.
主要方法:
- 关于人工智能在医疗保健和药物发现中的当前文献的综述.
- 分析包括透明度,偏见和数据隐私在内的道德挑战.
- 在蛋白质,RNA和DNA结构预测中探索AI应用.
主要成果:
- 人工智能提高了诊断的准确性,并个性化治疗计划.
- 伦理挑战包括缺乏透明度,算法偏见和数据隐私风险.
- 人工智能模型有效地用于预测药物开发的蛋白质,RNA和DNA结构.
结论:
- 在医疗保健中负责任地实施人工智能需要解决伦理挑战.
- 确保透明度,减轻偏见和保护数据隐私至关重要.
- 人工智能具有加速新药和基因治疗发现的巨大潜力.
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