WFUMB Commentary Paper on Artificial intelligence in Medical Ultrasound Imaging

IF 2.4 3区 医学 Q2 ACOUSTICS
Xin Wu Cui , Adrian Goudie , Michael Blaivas , Young Jun Chai , Maria Cristina Chammas , Yi Dong , Jonathon Stewart , Tian-An Jiang , Ping Liang , Chandra M. Sehgal , Xing-Long Wu , Peter Ching-Chang Hsieh , Saftoiu Adrian , Christoph F. Dietrich
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引用次数: 0

Abstract

Artificial intelligence (AI) is defined as the theory and development of computer systems able to perform tasks normally associated with human intelligence. At present, AI has been widely used in a variety of ultrasound tasks, including in point-of-care ultrasound, echocardiography, and various diseases of different organs. However, the characteristics of ultrasound, compared to other imaging modalities, such as computed tomography (CT) and magnetic resonance imaging (MRI), poses significant additional challenges to AI. Application of AI can not only reduce variability during ultrasound image acquisition, but can standardize these interpretations and identify patterns that escape the human eye and brain. These advances have enabled greater innovations in ultrasound AI applications that can be applied to a variety of clinical settings and disease states. Therefore, The World Federation of Ultrasound in Medicine and Biology (WFUMB) is addressing the topic with a brief and practical overview of current and potential future AI applications in medical ultrasound, as well as discuss some current limitations and future challenges to AI implementation.
世界超声医学联合会关于医学超声成像中的人工智能的评论文章。
人工智能(AI)是指能够执行通常与人类智能相关任务的计算机系统的理论和开发。目前,人工智能已广泛应用于各种超声任务,包括护理点超声、超声心动图和不同器官的各种疾病。然而,与计算机断层扫描(CT)和核磁共振成像(MRI)等其他成像模式相比,超声波的特点给人工智能带来了更多重大挑战。应用人工智能不仅可以减少超声波图像采集过程中的可变性,还可以使这些解释标准化,并识别出人眼和大脑无法识别的模式。这些进步使得超声人工智能应用有了更大的创新,可应用于各种临床环境和疾病状态。因此,世界医学与生物学超声联盟(WFUMB)针对这一主题,对医学超声领域当前和未来潜在的人工智能应用进行了简要而实用的概述,并讨论了人工智能实施的一些当前限制和未来挑战。
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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来源期刊
CiteScore
6.20
自引率
6.90%
发文量
325
审稿时长
70 days
期刊介绍: Ultrasound in Medicine and Biology is the official journal of the World Federation for Ultrasound in Medicine and Biology. The journal publishes original contributions that demonstrate a novel application of an existing ultrasound technology in clinical diagnostic, interventional and therapeutic applications, new and improved clinical techniques, the physics, engineering and technology of ultrasound in medicine and biology, and the interactions between ultrasound and biological systems, including bioeffects. Papers that simply utilize standard diagnostic ultrasound as a measuring tool will be considered out of scope. Extended critical reviews of subjects of contemporary interest in the field are also published, in addition to occasional editorial articles, clinical and technical notes, book reviews, letters to the editor and a calendar of forthcoming meetings. It is the aim of the journal fully to meet the information and publication requirements of the clinicians, scientists, engineers and other professionals who constitute the biomedical ultrasonic community.
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