The new GenSeg framework significantly reduces the need for expert-labeled data and achieves high-accuracy medical image segmentation with as few as 40-50 samples. By creating realistic synthetic scans paired with exact labels, it empowers the development of advanced diagnostic tools even in data-limited settings.