放射组学和人工智能导论:放射科医生入门

IF 0.8 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Seminars in Roentgenology Pub Date : 2023-04-01 DOI:10.1053/j.ro.2023.02.002
Adam G. Haneberg BS , Kevin Pierre MD , Eric Winter-Reinhold , Bruno Hochhegger MD , Keith R. Peters MD , Joseph Grajo MD , Manuel Arreola PhD , Navid Asadizanjani PhD , Jiang Bian PhD , Anthony Mancuso MD , Reza Forghani MD, PhD
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引用次数: 1

摘要

健康信息学和人工智能有望改变医疗保健企业和放射学的未来实践。关于放射组学和深度学习/AI在医学成像中的应用,文献越来越多。美国食品药品监督管理局批准的人工智能在放射学领域的应用也在稳步增加。因此,无论是在学术界还是私人实践中,放射科医生都必须对这些方法有基本的了解。在本文中,我们将对该领域进行概述,并让读者熟悉这些方法背后的基本概念。
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Introduction to Radiomics and Artificial Intelligence: A Primer for Radiologists

Health informatics and artificial intelligence (AI) are expected to transform the healthcare enterprise and the future practice of radiology. There is an increasing body of literature on radiomics and deep learning/AI applications in medical imaging. There are also a steadily increasing number of FDA cleared AI applications in radiology. It is therefore essential for radiologists to have a basic understanding of these approaches, whether in academia or private practice. In this article, we will provide an overview of the field and familiarize the readers with the fundamental concepts behind these approaches.

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来源期刊
Seminars in Roentgenology
Seminars in Roentgenology 医学-核医学
CiteScore
0.90
自引率
0.00%
发文量
49
审稿时长
51 days
期刊介绍: Seminars in Roentgenology is designed primarily for the practicing radiologist and for the resident. Each quarterly issue compiled by a leading guest editor covers a single topic of current importance. The clinical, pathological, and roentgenologic aspects are emphasized, while research and techniques are discussed insofar as they provide documentation and clarification of the subject under discussion. This Seminars series is of interest to radiologists, sonographers, and radiologic technicians.
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