人与人工智能在放射学上的互动和合作:从概念框架到负责任的实施
1Basaksehir Cam and Sakura City Hospital, Department of Radiology, Istanbul, Türkiye.
Diagnostic and interventional radiology (Ankara, Turkey)
|January 26, 2026
概括
人工智能 (AI) 在放射学中的整合需要理解人类-AI合作. 本综述探讨了AI在临床工作流程中的风险,机遇和负责任的实施策略.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地用于放射学.
- 目前的研究经常孤立地评估AI算法,而不是在临床工作流程中.
- 了解人与人工智能的互动对于有效的整合至关重要.
研究的目的:
- 审查目前关于放射学中人与人工智能相互作用的知识.
- 突出临床团队的实际风险和机会.
- 引导放射学中负责任的AI实施.
主要方法:
- 关于放射学中人类-人工智能协作现有文献的叙事综述.
- 分析整个成像途径的AI整合策略.
- 讨论认知,专业和实施方面的问题.
主要成果:
- 像诊断互补性这样的概念模型解释了协同性能.
- 人工智能整合策略包括获取,分选,解释,报告和教学.
- 潜在的影响包括自动化偏见,失业和倦怠,以及特定的学员漏洞.
结论:
- 负责任的AI实施需要解决责任,监督,绩效监测和AI素养问题.
- 与放射学团队的共同设计和可用的解释是关键.
- 像视觉语言模型和自适应学习循环这样的新兴系统显示出未来的潜力.
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