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

被引：0
|
作者：
Lam, Ngo Fung Daniel [1 ]
Cai, Jing [2 ]
Ng, Kwan Hoong [3 ,4 ]
机构：
[1] Queen Mary Hosp, Dept Radiol, Pok Fu Lam, Hong Kong, Peoples R China
[2] Hong Kong Polytech Univ, Dept Hlth Technol & Informat, Hung Hom, Hong Kong, Peoples R China
[3] Univ Malaya, Fac Med, Dept Biomed Imaging, Kuala Lumpur, Malaysia
[4] UCSI Univ, Fac Med & Hlth Sci, Springhill, Negri Sembilan, Malaysia
来源：
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE | 2025年
关键词：
Artificial intelligence; Diagnostic imaging physics; Clinical medical physics; Medical imaging; Clinical application; NEURAL-NETWORK; QUALITY-CONTROL; MACHINE; RADIOLOGY; RECONSTRUCTION; PREDICTION; ALGORITHM; CRYSTALS; MODELS; FETUS;
D O I：
10.1007/s13246-025-01535-z
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
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页数：16
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