Affiliations 

  • 1 Department of Radiology, Queen Mary Hospital, Pok Fu Lam, Hong Kong
  • 2 Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
  • 3 Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia. ngkh@ummc.edu.my
Phys Eng Sci Med, 2025 Mar 24.
PMID: 40126762 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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.