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Artificial Intelligence in Radiation Oncology.

Christopher R Deig1, Aasheesh Kanwar1, Reid F Thompson2

  • 1Radiation Medicine, Oregon Health & Science University, 3181 Southwest Sam Jackson Park Road, Portland, OR 97239, USA.

Hematology/Oncology Clinics of North America
|November 1, 2019
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) can enhance radiation oncology by improving patient outcomes and safety. AI integration aids in predicting treatment results, optimizing planning, and increasing overall care efficiency.

Keywords:
Artificial intelligenceDeep learningMachine learning

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Area of Science:

  • Medical Physics
  • Oncology
  • Radiotherapy

Background:

  • Radiation oncology workflows involve complex processes from patient consultation to treatment delivery.
  • Integrating advanced technologies is crucial for improving efficiency and patient outcomes in radiotherapy.

Purpose of the Study:

  • To explore the potential applications and benefits of artificial intelligence (AI) in radiation oncology.
  • To describe how AI can enhance various stages of the radiation oncology process, including consultation, planning, and treatment.

Main Methods:

  • Review of current radiation oncology workflows.
  • Identification of key areas for AI integration.
  • Analysis of AI's potential impact on prediction, planning, quality assurance, and patient safety.

Main Results:

  • AI can assist in predicting pretreatment disease outcomes and toxicity.
  • AI offers potential for enhanced dose optimization and improved treatment planning efficiency and quality.
  • AI can optimize quality assurance, leading to higher safety and efficiency in patient care.

Conclusions:

  • Thoughtful integration of artificial intelligence can significantly improve shared decision-making, planning efficiency, and quality in radiation oncology.
  • AI has the potential to enhance patient safety and improve overall patient outcomes in radiotherapy.
  • AI represents a significant advancement for the future of radiation oncology practice.