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A Review of Artificial Intelligence Application for Radiotherapy
Guoping Shan1,2, Shunfei Yu3, Zhongjun Lai3
1School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Summary
Artificial intelligence (AI) offers a promising alternative to human involvement in radiotherapy (RT). This technology can enhance accuracy and reduce uncertainty in complex RT processes.
Area of Science:
- Medical Physics
- Radiotherapy Technology
- Artificial Intelligence in Medicine
Background:
- Human participation introduces significant uncertainty in radiotherapy (RT).
- Artificial intelligence (AI) aims to mimic human cognitive functions and behaviors.
- AI presents a potential solution for automating human-dependent tasks in RT.
Purpose of the Study:
- To systematically review current literature on AI applications in RT.
- To clarify the clinical role of AI in radiotherapy practice.
- To identify AI's potential to improve RT processes.
Main Methods:
- Systematic literature search of PubMed and Google Scholar.
- Inclusion of original articles on AI applications in RT up to 2022.
- Categorization of studies based on RT aspects: segmentation, planning, and quality assurance.
Main Results:
- AI tools are being developed for organ and lesion segmentation in RT.
- AI demonstrates potential in optimizing radiotherapy treatment planning.
- AI applications are emerging for quality assurance in RT protocols.
Conclusions:
- AI is a viable alternative for human-dependent steps in RT.
- AI can potentially reduce uncertainty and improve efficiency in radiotherapy.
- Further integration of AI is expected to advance clinical RT practice.
