Demonstrates improved treatment accuracy in radiotherapy through automated positioning, suggesting a low-cost, efficient solution for clinicians.
This study provides a practical and low-cost solution for RT positioning, reducing clinician workload and patient burden while improving treatment accuracy. It demonstrates the potential of prompt-guided incremental adaptation and multi-level offset analysis in real RT environments, offering a promising direction for intelligent, automated radiotherapy positioning systems.
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Zhang et al. (2026) studied this question.
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