#8410. A reinforcement learning approach for finding optimal policy of adaptive radiation therapy considering uncertain tumor biological response

November 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript5500 $

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Journal’s subject area:
Medicine (miscellaneous);
Artificial Intelligence;
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Abstract:
The study deals with the adaptive radiation therapy (ART). One challenge of radiation dose adjustment in response to potential changes during the treatment is to determine the optimal timing of adaptations. This paper aims to develop an automated treatment planning framework taking into account the biological uncertainties to find the optimal adaptation points. Expectation is that this approcah will help to achieve a more effective treatment plan.
Keywords:
Adaptive radiation therapy; Tumor biological behavior; Radiation treatment; Reinforcement learning

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