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Updated: Jun 1, 2025

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
Published on: October 6, 2023
Current availability of radiotherapy devices in Peru and artificial intelligence-based analysis for constructing a
Gustavo R Sarria1, Dante Baldeon2, Eduardo Payet3
1Department of Radiation Oncology, University Hospital Bonn, University of Bonn, Bonn, Germany.
Peru needs more radiotherapy equipment to meet current cancer demands. An AI-driven plan identifies optimal resource allocation, projecting future needs until 2030.
Area of Science:
- Oncology
- Medical Physics
- Health Systems Research
Background:
- Radiotherapy (RT) is crucial for cancer treatment.
- Peru faces challenges in RT access due to limited equipment.
- A strategic plan is needed to address RT deficits.
Purpose of the Study:
- To conduct a situational diagnosis of radiotherapy resources in Peru.
- To propose an AI-assisted nationwide implementation plan for RT.
- To address urgent needs in cancer care delivery.
Main Methods:
- Collected data from Peruvian government databases and GLOBOCAN for cancer incidence.
- Assessed existing external-beam radiotherapy (EBRT) and brachytherapy (BT) devices, noting obsolescence.
- Developed an AI algorithm to identify optimal resource allocation based on population, incidence, geography, and travel time.
Main Results:
- Eight additional EBRT and seven BT devices are needed in 2023.
- The AI algorithm identified priority regions for resource allocation.
- Demand is projected to increase by 22% by 2030, requiring 23 EBRT and 16 BT devices.
Conclusions:
- Increased investment is necessary to meet Peru's RT demand.
- AI-assisted analysis aids in prioritizing resource allocation for cancer treatment.
- The methodology is shareable for replication in other developing economies.
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