AI-assisted VMAT planning shortened workflow but required manual hotspot correction
AI-assisted planning cut average planning time from about two hours to 30 minutes, but three of 12 plans required manual hotspot correction.
AI-assisted planning cut average planning time from about two hours to 30 minutes, but three of 12 plans required manual hotspot correction.
A phantom-derived model predicted SCART central target radius with R² values of 0.991–0.999, but clinical validation remains absent.
Early three-dimensional CBCT shifts performed no better than chance for identifying patients with at least 3% PTV coverage loss.
A standardized knowledge-based VMAT workflow achieved high target coverage, low cardiopulmonary doses and no grade 3 acute toxicity in 484 patients.
Surface-guided radiotherapy kept mean setup shifts near zero during frog-leg vulvar volumetric modulated arc therapy.
Aperture irregularity and modulation complexity score were the strongest plan-complexity predictors of patient-specific quality assurance pass rate.
Across 500 clinical cases, automated planning preserved target coverage and was associated with lower doses to multiple critical structures than earlier manual planning.