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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.

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|June 24, 2024
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
artificial intelligenceauto-segmentationautomated treatment planningquality assuranceradiotherapy

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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.