人工智能的未来方向。

Future Directions in Artificial Intelligence.

机构信息

Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10 Room 1C455, Bethesda, MD 20892, USA; Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, 1000 Hilltop Cir, Baltimore, MD 21250, USA; Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.

Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10 Room 1C455, Bethesda, MD 20892, USA; Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, 1000 Hilltop Cir, Baltimore, MD 21250, USA; Division of Clinical Informatics, Networking Health, 331 Oak Manor Drive STE 201, Glen Burnie, MD 21061, USA.

出版信息

Radiol Clin North Am. 2021 Nov;59(6):1085-1095. doi: 10.1016/j.rcl.2021.07.008.

DOI:10.1016/j.rcl.2021.07.008

PMID:34689876

Abstract

No one knows what the paradigm shift of artificial intelligence will bring to medical imaging. In this article, we attempt to predict how artificial intelligence will impact radiology based on a critical review of current innovations. The best way to predict the future is to anticipate, prepare, and create it. We anticipate that radiology will need to enhance current infrastructure, collaborate with others, learn the challenges and pitfalls of the technology, and maintain a healthy skepticism about artificial intelligence while embracing its potential to allow us to become more productive, accurate, secure, and impactful in the care of our patients.

摘要

没有人知道人工智能的范式转变将给医学成像带来什么。在本文中，我们试图根据对当前创新的批判性回顾，预测人工智能将如何影响放射学。预测未来的最好方法是预见、准备和创造未来。我们预计放射学将需要增强当前的基础设施，与他人合作，了解技术的挑战和陷阱，并对人工智能保持健康的怀疑态度，同时接受其潜力，使我们在照顾患者时更高效、更准确、更安全、更有影响力。