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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

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

作者信息

Lam Ngo Fung Daniel, Cai Jing, Ng Kwan Hoong

机构信息

Department of Radiology, Queen Mary Hospital, Pok Fu Lam, Hong Kong.

Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong.

出版信息

Phys Eng Sci Med. 2025 Mar 24. doi: 10.1007/s13246-025-01535-z.

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.

摘要

当前医学影像物理的临床实践涉及质量保证、图像处理与分析、辐射剂量学、风险评估与辐射防护,以及内部培训与研究。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)是一项正在兴起的技术,有潜力协助医学物理学家开展工作。将人工智能整合到医学影像物理学家工作量中的探索还很有限。在这篇综述论文中,我们概述了人工智能技术,阐述了它们在医学影像物理中的潜在用途,并讨论了人工智能技术临床应用的局限性和挑战。

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