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Rapid Progress in Intelligent Radiotherapy and Future Implementation.

Guangpeng Chen1, Jianxiong Cui1,2, Jindong Qian1

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This summary is machine-generated.

Artificial intelligence in radiotherapy, integrating big data and deep learning, is revolutionizing cancer treatment. This technology aims to create an automated platform for the entire radiotherapy process, paving the way for future unmanned centers.

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Area of Science:

  • Oncology
  • Medical Physics
  • Computer Science

Background:

  • Radiotherapy is a cornerstone of cancer treatment.
  • The integration of artificial intelligence (AI) is emerging as a transformative force in radiotherapy.
  • Intelligent radiotherapy encompasses various advanced technologies and methodologies.

Purpose of the Study:

  • To review the key applications of artificial intelligence in radiotherapy.
  • To summarize the current state of intelligent radiotherapy implementation.
  • To explore the future potential of unmanned radiotherapy centers.

Main Methods:

  • Review of current literature and technological advancements in AI for radiotherapy.
  • Analysis of AI's role in different stages of the radiotherapy workflow.
  • Discussion of emerging technologies like big data, deep learning, extended reality, digital twins, radiomics, and IoT.

Main Results:

  • AI technologies are being applied across the radiotherapy pipeline, from preparation to follow-up.
  • Intelligent radiotherapy platforms are being developed to automate and enhance treatment processes.
  • Key AI components include big data analytics, deep learning algorithms, and IoT integration.

Conclusions:

  • Intelligent radiotherapy represents an interdisciplinary frontier with significant potential.
  • The ongoing development promises more efficient, precise, and automated cancer treatment.
  • The future may see the establishment of fully unmanned radiotherapy centers.