人工智能在放射科实践中的应用障碍：放射科医生需要了解的内容。
Barriers to artificial intelligence implementation in radiology practice: What the radiologist needs to know.
机构信息
Departamento de Imagenología Clínica, Hospital Al-Wakra, Hamad Medical Corporation, Doha, Qatar.
Departamento de Radiología, Weill Cornell Medicine, Departamento de Imagenología Clínica, Hospital Al-Wakra, Hamad Medical Corporation, Doha, Qatar.
出版信息
Radiologia (Engl Ed). 2022 Jul-Aug;64(4):324-332. doi: 10.1016/j.rxeng.2022.04.001.
Artificial Intelligence has the potential to disrupt the way clinical radiology is practiced globally. However, there are barriers that radiologists should be aware of prior to implementing Artificial Intelligence in daily practice. Barriers include regulatory compliance, ethical issues, data privacy, cybersecurity, AI training bias, and safe integration of AI into routine practice. In this article, we summarize the issues and the impact on clinical radiology.
人工智能有可能颠覆全球临床放射学的实践方式。然而，放射科医生在日常实践中实施人工智能之前，应该意识到一些障碍。这些障碍包括法规遵从性、伦理问题、数据隐私、网络安全、人工智能培训偏差以及人工智能安全地融入常规实践。本文总结了这些问题及其对临床放射学的影响。
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