Data augmentation based on large language models for radiological report classification

Jaime Collado-Montañez, María Teresa Martín Valdivia, Eugenio Martínez-Cámara

Abstract: Highlights•Large language models are a useful data augmentation tool.•Domain adaptation improves the precision of the system.•Tackling data scarcity and imbalance greatly improves classification results.