نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه فیزیک، دانشکده علوم پایه، دانشگاه بین المللی امام خمینی، قزوین، ایران
2 گروه فیزیک، دانشکده علوم پایه، دانشگاه گیلان، رشت، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
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
کلیدواژهها [English]
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