A Personalized Choice beside a Plan-Improvement Probability
Abstract
Patient-specific treatment selection and radiation planning can share contexts while retaining distinct terminal events. Evaluation should state the profile and baseline used for each comparison and independently check numerical recommendations. A planning probability is not a measured treatment benefit, and a contextual policy's average success can conceal an unresolved sparse-profile decision. This focused synthesis develops an empirical comparison that preserves the terminal action, observation process, and total verification cost. Its proposed tests are prospective; no new simulation run, model-training result, or intervention effect is reported.
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