 In summary, our study shows that SAM can be used to achieve accurate medical image segmentation by fine-tuning with a small amount of data. This demonstrates the versatility of generalist vision foundation models on medical imaging and their potential to address the challenges associated with accessing large and diverse medical data sets in support of clinical diagnostics. This article was authored by Paolo Insher, Jinning Chio, Saimu Delica-Baxi, and others.