在医疗保健中使用人工智能和机器学习的伦理考虑:全面审查
Mitul Harishbhai Tilala1, Pradeep Kumar Chenchala2, Ashok Choppadandi3
1Software Engineering, Independent Researcher, Trenton, USA.
Cureus
|July 16, 2024
概括
人工智能 (AI) 和机器学习 (ML) 提供了医疗保健方面的进步,但需要仔细考虑道德问题. 解决隐私,偏见和责任等问题可以确保人工智能.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 医学伦理学医学伦理学
- 医学中的数据科学.
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 正在改变医疗保健提供和研究.
- 将AI/ML整合到医疗保健中需要解决负责任部署的重大伦理挑战.
研究的目的:
- 在医疗保健中对围绕AI和ML的多方面的伦理考虑进行全面审查.
- 确定关键的伦理维度,包括隐私,数据安全,算法偏见,透明度,临床验证和专业责任.
主要方法:
- 对AI和ML在医疗保健中的伦理维度进行批判性检查.
- 审查现有的文献和AI伦理医学框架.
主要成果:
- 确定了关键的伦理考虑因素:患者数据隐私和安全性,算法偏见,缺乏透明度,临床验证的挑战和不断变化的专业责任.
- 利益相关者必须驾这些复杂性,以确保安全和公平的AI集成.
结论:
- 坚持道德最佳实践和跨学科合作对于利用AI/ML在医疗保健中的潜力至关重要.
- 负责任的AI整合可以导致个性化,数据驱动的医疗保健,优先考虑患者的福祉和公平.
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