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planning by combining physical gradient feedback with look-ahead neural acceleration.This enables near-instant generation of highquality plans, supporting on-couch re-optimization to accommodate daily anatomy changes and setup errors.Overall, the approach moves online adaptive proton therapy closer to clinically practical real-time workflows with improved precision and robustness.
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Quarz et al. (2026) studied this question.
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