人工智能在乳腺成像中的临床应用:当前的见解、挑战和未来的方向。

IF 2.4 4区 医学 Q3 ONCOLOGY
Yu-Mee Sohn, Eun Jee Song
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引用次数: 0

摘要

人工智能(AI)应用于放射学的各个领域,特别是乳房成像,从乳房x光检查开始,延伸到超声检查(US)和磁共振成像(MRI)。本综述旨在探讨人工智能在乳腺成像中的介绍、应用和挑战。本文概述了人工智能在各种模式中的应用,包括乳房x光检查、超声心动图和核磁共振成像,并讨论了其适应症、持续的挑战和未来的前景。人工智能已被用于识别、分类、检测、诊断、乳腺密度评估、治疗反应和预测预后。人工智能可以帮助放射科医生避免因工作量大而漏诊,提高工作效率。将人工智能软件集成到日常实践中,以及进一步的验证和改进,对于支持放射科医生的工作流程是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Clinical Application of Artificial Intelligence in Breast Imaging: Current Insights, Challenges, and Future Directions.

Artificial intelligence (AI) is used in various areas of radiology, particularly in breast imaging, starting with mammography and extending to ultrasonography (US) and magnetic resonance imaging (MRI). This overview aims to examine the introduction, applications, and challenges of AI in breast imaging. This narrative outlines the applications of AI in various modalities-including mammography, US, and MRI-and discusses its indications, ongoing challenges, and future perspectives. AI has been used for identification, classification, detection, diagnosis, breast density assessment, treatment response, and prediction of prognosis. AI can help radiologists avoid missed diagnoses due to heavy workloads and enhance workflow efficiency. The integration of AI software into daily practice, along with further validation and refinement, is necessary to support radiologists' workflows.

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来源期刊
Journal of Breast Cancer
Journal of Breast Cancer 医学-肿瘤学
CiteScore
3.80
自引率
4.20%
发文量
43
审稿时长
6-12 weeks
期刊介绍: The Journal of Breast Cancer (abbreviated as ''J Breast Cancer'') is the official journal of the Korean Breast Cancer Society, which is issued quarterly in the last day of March, June, September, and December each year since 1998. All the contents of the Journal is available online at the official journal website (http://ejbc.kr) under open access policy. The journal aims to provide a forum for the academic communication between medical doctors, basic science researchers, and health care professionals to be interested in breast cancer. To get this aim, we publish original investigations, review articles, brief communications including case reports, editorial opinions on the topics of importance to breast cancer, and welcome new research findings and epidemiological studies, especially when they contain a regional data to grab the international reader''s interest. Although the journal is mainly dealing with the issues of breast cancer, rare cases among benign breast diseases or evidence-based scientifically written articles providing useful information for clinical practice can be published as well.
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