Following this puts new work involving it at the top of your briefing, with a note saying why it is there. Links are taken from the source record, never inferred.
Single-center machine learning model with reasonable test-set performance (AUC 0.894) and independent temporal validation, but surrogate endpoints (biochemical markers and imaging classification) rather than hard clinical outcomes, and no comparison to standard risk stratification.
A two-phase feasibility and safety study combining dosimetric planning with retrospective clinical validation in a single institution, showing efficiency gain and acceptable acute toxicity, but limited by retrospective design, modest sample size, and surrogate endpoints.