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Applications of artificial intelligence in radiophysics
Cuihua Li1, Hongyan Liu2, Peilin Li3
1Shandong Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Journal of Cancer Research and Therapeutics
|April 6, 2022
Summary
Artificial intelligence (AI) enhances radiotherapy physics by automating plan design and quality control (QC). This promotes precision treatment and ensures safety in radiation oncology applications.
Area of Science:
- Radiation Oncology
- Medical Physics
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly integral to radiation oncology.
- Radiotherapy physics is a key area benefiting from AI advancements.
- AI improves automation in radiotherapy plan design and quality control (QC).
Purpose of the Study:
- To review current AI applications and research in radiotherapy physics.
- To project future prospects of AI in radiotherapy.
- To highlight AI's role in precision medicine.
Main Methods:
- Literature review of AI applications in radiotherapy physics.
- Analysis of AI's impact on plan design and QC.
- Exploration of AI's potential in organs at risk contouring and dose prediction.
Main Results:
- AI has significantly improved automation in radiotherapy plan design.
- AI enhances quality assurance and control processes in radiotherapy.
- AI shows promise in areas like organs at risk contouring and dose prediction.
Conclusions:
- AI is crucial for advancing radiotherapy physics and enabling individualized precision treatment.
- Continued research and application of AI will further optimize radiotherapy workflows.
- AI integration is essential for the future of radiation oncology.
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