“A new study evaluates the reliability of large language models as judges for radiology report quality across different imaging modalities and anatomies. The research addresses a critical gap in medical AI by examining which model and prompt configurations work best, moving beyond chest X-ray-specific solutions to ensure robust evaluation across diverse clinical contexts.”