Artificial intelligence in medical imaging technology: A clinical update

A. Khajuria, Nahida Bilal, Diksha Bhanot
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引用次数: 0

Abstract

Artificial intelligence (AI) has become a very popular Recently, experimental results, particularly in the field of image analysis and processing. In medicine, specialties where images are central, like radiology, pathology or oncology, have provide the opportunity and considerable efforts in research and development have been deployed to transfer the potential of AI to clinical applications. With AI becoming a more mainstream tool for typical medical imaging analysis tasks, such as diagnosis, treatment or classification, and for a safe and efficient use of clinical AI applications relies. By using AI in medical imaging, physicians can identify conditions much quicker, promoting early intervention can accurately detect and diagnose cancer by analyzing tissue scans in a better way.The aim of this review is to present the basic technological pillars of AI.
人工智能在医学成像技术中的应用:临床更新
人工智能(AI)已经成为一个非常流行的领域,最近,实验结果,特别是在图像分析和处理领域。在医学领域,以图像为中心的专业,如放射学、病理学或肿瘤学,提供了机会,并在研究和开发方面做出了相当大的努力,将人工智能的潜力转移到临床应用中。随着人工智能成为典型医学成像分析任务(如诊断、治疗或分类)的主流工具,以及安全有效地使用临床人工智能应用的依赖。通过在医学成像中使用人工智能,医生可以更快地识别病情,促进早期干预,可以通过更好地分析组织扫描来准确检测和诊断癌症。这篇综述的目的是介绍人工智能的基本技术支柱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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