Artificial intelligence and its potential integration with the clinical practice of diagnostic imaging medical physicists: a review.

IF 2.4 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Ngo Fung Daniel Lam, Jing Cai, Kwan Hoong Ng
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引用次数: 0

Abstract

Current clinical practice in imaging medical physics is concerned with quality assurance, image processing and analysis, radiation dosimetry, risk assessment and radiation protection, and in-house training and research. Physicist workloads are projected to increase as medical imaging technologies become more sophisticated. Artificial intelligence (AI) is a rising technology with potential to assist medical physicists in their work. Exploration of AI integration into imaging medical physicist workloads is limited. In this review paper, we provide an overview of AI techniques, outline their potential usage in imaging medical physics, and discuss the limitations and challenges to clinical adoption of AI technologies.

人工智能及其与诊断成像医学物理学家临床实践的潜在整合:综述。
影像医学物理学目前的临床实践涉及质量保证、图像处理和分析、辐射剂量测定、风险评估和辐射防护,以及内部培训和研究。随着医学成像技术变得更加复杂,物理学家的工作量预计会增加。人工智能(AI)是一项新兴技术,具有协助医学物理学家工作的潜力。将人工智能集成到成像医学物理学家工作负载中的探索是有限的。在这篇综述文章中,我们提供了人工智能技术的概述,概述了它们在成像医学物理学中的潜在应用,并讨论了人工智能技术在临床应用中的局限性和挑战。
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
8.40
自引率
4.50%
发文量
110
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