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Related Experiment Video

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Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
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Artificial intelligence in radiotherapy: a technological review.

Ke Sheng1

  • 1Department of Radiation Oncology, University of California, Los Angeles, CA, 90095, USA. ksheng@mednet.ucla.edu.

Frontiers of Medicine
|July 31, 2020
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is poised to revolutionize radiation therapy (RT). AI integration promises to enhance efficiency, accuracy, and personalization in cancer treatment, addressing the growing patient burden.

Keywords:
artificial intelligencemedical imagingoutcome predictionquality assuranceradiation therapytreatment planning

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Area of Science:

  • Medical Physics
  • Oncology
  • Artificial Intelligence

Background:

  • Radiation therapy (RT) is a cornerstone of cancer treatment.
  • Significant technological advancements in RT over the last 30 years have introduced new complexities.
  • The increasing global cancer patient burden necessitates innovative solutions for treatment delivery.

Purpose of the Study:

  • To review the current radiation therapy workflow.
  • To identify key areas within RT where artificial intelligence (AI) can provide significant benefits.
  • To highlight the potential of AI in driving the next breakthrough in radiation therapy.

Main Methods:

  • Review of technological advancements in radiation therapy.
  • Identification of AI applications across the RT workflow, including imaging, treatment planning, quality assurance, and outcome prediction.
  • Focus on deep learning techniques, with mention of conventional machine learning.

Main Results:

  • AI is expected to automate repetitive tasks and improve accuracy in complex RT procedures.
  • AI can enhance efficiency and consistency, crucial for managing increased patient loads.
  • AI offers new capabilities for superior imaging, real-time interventions, and adaptive/personalized RT through big data analysis.

Conclusions:

  • Artificial intelligence holds significant potential to transform radiation therapy.
  • AI integration can lead to more efficient, accurate, and personalized cancer treatments.
  • AI is crucial for addressing future challenges and opportunities in radiation therapy delivery.