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RAPTOR-AI: An open-source AI powered radiation protection toolkit for radioisotopes.

Hiroshi Watabe1, Peter K N Yu2, Dragana Krstic3

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Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
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Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances nuclear radiation physics by integrating with physics-based models. The Radiation Protection Toolkit for Radioisotopes with Artificial Intelligence (RAPTOR-AI) enables rapid safety assessments, especially in emergencies.

Keywords:
Artificial intelligenceMonte Carlo methodNuclear radiationOpen-sourceRadiation protection

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Area of Science:

  • Nuclear radiation physics
  • Computational physics
  • Radiation detection and measurement

Background:

  • Artificial intelligence (AI) offers advanced data processing capabilities for scientific research.
  • Physics-based models are crucial for understanding complex radiation interactions with matter.
  • Integrating AI with traditional models can overcome individual limitations.

Purpose of the Study:

  • To develop an open-source toolkit combining AI and physics-based simulations for radiation protection.
  • To enhance the speed and efficiency of radiation protection analysis for radioisotopes.
  • To provide rapid dose dispersion assessments for emergency preparedness.

Main Methods:

  • Development of the Radiation Protection Toolkit for Radioisotopes with Artificial Intelligence (RAPTOR-AI).
  • Integration of AI algorithms with the Particle and Heavy Ion Transport code System (PHITS) Monte Carlo package.
  • Utilizing facility structural maps for dose dispersion assessments in emergency scenarios.

Main Results:

  • RAPTOR-AI successfully integrates AI with the PHITS Monte Carlo package.
  • The toolkit enables rapid analysis of radiation protection for radioisotopes and structural shielding.
  • Demonstrated utility in providing quick dose dispersion assessments for emergency response.

Conclusions:

  • The RAPTOR-AI toolkit effectively merges AI and physics-based modeling for nuclear radiation applications.
  • This integration significantly improves the speed of radiation protection analysis, particularly in critical situations.
  • RAPTOR-AI enhances safety and response efficiency during radiological emergencies.