放射学中的人工智能和机器学习

Michael A. Bruno
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引用次数: 0

摘要

最后一章,假设读者没有事先了解该主题,回顾了人工智能(AI)的前景,特别是放射学中的机器学习和深度学习。我们首先讨论了人工智能领域的关键概念,并获得了该领域及其潜力的广泛概述,以及它对人类努力的多个领域的影响。随后,我们将重点关注人工智能应用于诊断放射学的当前和未来方面,特别是人工智能如何为放射学中的错误预防和补救提供途径。人工智能在改变放射科医生的角色和基本工作描述方面可能产生的影响也被考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence and Machine Learning in Radiology
This final chapter, which assumes no prior reader knowledge of the topic, reviews the promise of artificial intelligence (AI), especially machine learning and deep learning in radiology. We initially discuss key concepts in the field of AI and gain a broad overview of the field and its potential, as well as the impact it is having on multiple areas of human endeavor. Subsequently, we focus on current and projected aspects of AI as applied to diagnostic radiology, specifically on how AI might provide an avenue for error prevention and remediation in radiology. The possible impact of AI in changing the radiologist’s role and basic job description is also considered.
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