A review of artificial intelligence in brachytherapy Journal Article
| Authors: | Chen, J.; Qiu, R. L. J.; Wang, T.; Momin, S.; Yang, X. |
| Article Title: | A review of artificial intelligence in brachytherapy |
| Abstract: | Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy. We analyze AI's role in making brachytherapy treatments more personalized, efficient, and effective. The applications are systematically categorized into seven categories: imaging, preplanning, treatment planning, applicator reconstruction, quality assurance, outcome prediction, and real-time monitoring. Each major category is further subdivided based on cancer type or specific tasks, with detailed summaries of models, data sizes, and results presented in corresponding tables. Additionally, we discuss the limitations, challenges, and ethical concerns of current AI applications, along with perspectives on future directions. This review offers insights into the current advancements, challenges, and the impact of AI on treatment paradigms, encouraging further research to expand its clinical utility. © 2025 The Author(s). Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of American Association of Physicists in Medicine. |
| Keywords: | neoplasm; neoplasms; radiotherapy dosage; radiotherapy; artificial intelligence; brachytherapy; radiotherapy planning, computer-assisted; ldr; procedures; machine learning; hdr; humans; human; radiotherapy planning system; deep learning; ai |
| Journal Title: | Journal of Applied Clinical Medical Physics |
| Volume: | 26 |
| Issue: | 6 |
| ISSN: | 1526-9914 |
| Publisher: | American College of Medical Physics |
| Date Published: | 2025-01-01 |
| Start Page: | e70034 |
| Language: | English |
| DOI: | 10.1002/acm2.70034 |
| PUBMED: | 40014044 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Article -- Source: Scopus |
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