MRAnnotator is a deep learning model that segments 44 anatomical structures across diverse MRI sequences. Developed at Mount Sinai, it shows strong generalizability across scanners and sites, outperforming existing models. Host commentary summarizes the model development and datasets and explores its impact on AI development, annotation workflows, and multi-center research.

MRAnnotator: multi-anatomy and many-sequence MRI segmentation of 44 structures. Radiology Advances, 2025, 2(1), umae035.