Identifying trends in the use of artificial intelligence in new treatment techniques with linear accelerators and brachytherapy: a case study of the use of U network

Document Type : Research Paper

Authors

1 Department of Physics, Imam Khomeini International University, Qazvin, Iran

2 Department of Physics. Faculty of basic sciences. University of Guilan. Rasht. Iran

Abstract

Introduction: Introduction: Medical physics specialists face problems due to the complexity and time-consuming design of radiation therapy. Various studies have pointed out the importance and role of artificial intelligence in radiation therapy and accelerating and improving its quality. This research examines and analyzes the possibility of using the U network to improve the design of radiation therapy as a technique to modify radiation therapy with a future-oriented approach.
Methods: To achieve this research goal, trend analysis has been used as one of the main methods of future research. The development path of the U network was examined in authoritative articles, and then by extrapolating the future development path, the application of this technique in radiation therapy was investigated. According to Prisma 2020 guidelines, study selection processes, screening and inclusion and exclusion criteria were defined.
Findings: Among the 28 articles studied, 20 articles were selected for further evaluation. The evaluation of the trend of U network strategies in radiotherapy showed that the use of U network will lead to better performance than traditional methods and more effectiveness and reduction of human error in radiotherapy treatment design.
Conclusion: Considering the future trends of the use of the U network in different fields of radiotherapy and the growth of the statistics of articles in this field, which shows the increasing interest in the research and development of artificial intelligence technologies, it is expected that in the future, the application of artificial intelligence technologies reducing treatment costs and improving the treatment process

Keywords

References

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Journal of Iran Futures Studies
Volume 9, Issue 1 - Serial Number 12
September 2024
Pages 163-185

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