乳腺成像中的人工智能:机遇,挑战和法律和道德方面的考虑
Irmak Durur Subasi1, Ş Barış Özçelik2
1Istanbul Medipol University International Faculty of Medicine, Istanbul, Turkey.
The Eurasian journal of medicine
|August 11, 2024
概括
人工智能 (AI) 通过深度学习提供先进的乳腺癌诊断,但其采用面临挑战. 制定法律和道德框架对于在医疗保健中负责任地整合人工智能至关重要.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 在瘤学瘤学.
背景情况:
- 全球乳腺癌发病率的增加需要先进的诊断工具.
- 人工智能 (AI),特别是深度学习,在增强乳房成像分析方面显示出重大前景.
- 目前AI在乳腺成像中的采用率是可变的,这表明需要进一步探索.
研究的目的:
- 审查人工智能对乳腺成像诊断的影响.
- 确定AI整合到乳腺癌护理中的挑战和机会.
- 强调法律和道德考虑对负责任的人工智能部署的重要性.
主要方法:
- 关于人工智能在乳腺成像中的应用的文献综述.
- 分析深度学习技术在诊断改进中的分析.
- 检查影响医疗保健中人工智能采用的法律和伦理框架.
主要成果:
- 人工智能在管理大型数据集和推进乳腺癌精准医学方面表现出潜力.
- 整合的挑战包括数据问题,透明度和对AI决策的信任.
- 人工智能团队组建和知识产权等法律方面对于医疗保健的采用至关重要.
结论:
- 一个强大的法律和道德框架对于负责任的AI在乳腺成像中的实施至关重要.
- 将技术进步与伦理考虑相协调,将提高患者的安全性和治疗效率.
- 制定全面的法律法规对于全球竞争力和成功的AI整合至关重要.
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