High geometric agreement did not guarantee physician acceptance of AI contours
Thoracic AI contours showed strong geometric and dosimetric agreement, but physicians still rejected some heart and oesophageal contours.
Tag
AI
Federated learning improved radiation pneumonitis prediction across lung cancer datasets
A center-specific federated learning model predicted grade 2 or higher radiation pneumonitis with stable cross-dataset performance.
Artificial intelligence planning generated clinically acceptable whole-brain radiotherapy plans
Artificial intelligence planning produced clinically acceptable whole-brain radiotherapy plans in 14 of 15 independent test cases.
Artificial intelligence surrogate estimated coronary artery dose in lung stereotactic body radiotherapy
An artificial intelligence coronary artery surrogate strongly correlated with manual dose metrics in simulated lung stereotactic body radiotherapy.
Virtual contrast-enhanced MRI matched gadolinium-enhanced imaging for diagnosis, staging, and tumor delineation.
98.98% of virtual contrast-enhanced MRI scans were rated suitable for diagnosis, and 92.33% for tumor delineation.
Neural model compresses proton Monte Carlo phase-space data while preserving dose accuracy
The neural model reduced phase-space storage from 3 gigabytes to 600 kilobytes while maintaining at least 89.9% gamma passing at 1%/1 mm.
Large language model framework extracted cardiac events with up to 85.5% accuracy
The framework achieved 85.5% external-validation accuracy and reduced estimated review time from 822 hours to 2.3–4.8 hours.
Body composition adds little to radiotherapy toxicity prediction
Computed tomography-derived muscle measures ranked highly for toxicity and quality of life, but added little predictive value beyond established clinical factors.
Hybrid foundation model produces expert-preferred brain metastasis contours
A hybrid foundation-model framework achieved 94% lesion-wise sensitivity and was preferred over physician-generated brain metastasis contours in blinded, bias-adjusted comparisons.