在放射学中管理人工智能:对道德,法律和监管框架的系统审查
1Department of Health Information Management and Technology, College of Applied Medical Sciences, University of Hafr Albatin, P.O. Box 31991, Hafr Albatin 31991, Saudi Arabia.
Diagnostics (Basel, Switzerland)
|September 27, 2025
概括
本系统性审查审查了放射学中人工智能 (AI) 的伦理,法律和监管框架. 它强调了诸如偏见和责任等挑战,并强调了适应性治理的必要性,以便在医学成像中安全地整合AI.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 卫生法与伦理 卫生法与伦理
背景情况:
- 人工智能 (AI) 越来越多地被用于放射学,这引发了复杂的伦理,法律和监管问题.
- 现有的治理框架很难跟上AI在临床成像方面的进步.
研究的目的:
- 系统地审查放射学AI的伦理,法律和监管框架.
- 确定治理挑战和安全,透明和负责任的AI整合策略.
- 为临床医生,人工智能开发人员和政策制定者提供指导.
主要方法:
- 对38篇同行评审文章 (2018-2025) 的系统审查.
- 在PubMed,Scopus和Embase进行的搜索.
- 研究的主题内容分析,重点关注治理影响.
主要成果:
- 确定的问题包括算法偏差 (例如,乳房/胸部成像),AI系统不透明 (例如,肺结节检测) 和法律责任问题.
- 监管框架缺乏全球协调,需要适应性监督和改进数据治理.
- 监管的区域差异被注意到,特别是在中东地区.
结论:
- 在放射学中负责任地部署人工智能需要强有力的治理来解决偏见,可解释性和问责制.
- 综合的道德原则,法律保障和适应性监督至关重要.
- 为临床医生,开发人员,决策者和研究人员提供量身定制的见解,以导航AI集成.
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