Information processing method, program, and information processing device for the efficient removal of radioactive nuclides derived from radiopharmaceuticals
An information processing method optimizes adsorption column configuration using a learning model to efficiently remove radioactive substances from patient urine, addressing exposure risks and cost inefficiencies in existing facilities.
Patent Information
- Application Number
- JP2024205659
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-11-26
- Publication Date
- 2026-06-05
AI Technical Summary
Existing radioactive drug administration facilities lack a mechanism for effectively treating radioactive substances in patient urine, leading to potential exposure risks and increased operational costs due to excessive treatment of wastewater to meet environmental standards.
An information processing method that utilizes a learning model to determine the configuration of an adsorption column set based on patient and pharmaceutical information, weather data, and wastewater treatment system configuration to efficiently adsorb radioactive substances in urine, ensuring compliance with environmental standards while minimizing costs.
The method enables efficient removal of radioactive substances from patient urine, reducing exposure risks and operational costs by optimizing the adsorption column configuration for each patient, thereby ensuring wastewater meets environmental standards without over-treatment.