A review of the Segment Anything Model (SAM) for medical image analysis: Accomplishments and perspectives

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Mudassar Ali, Tong Wu, Haoji Hu, Qiong Luo, Dong Xu, Weizeng Zheng, Neng Jin, Chen Yang, Jincao Yao

Published: 2025, Last Modified: 02 Aug 2025Comput. Medical Imaging Graph. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•SAM excels in medical image segmentation tasks.•Fine-tuning SAM with medical datasets improves performance.•SAM handles both 2D and 3D datasets, boosting segmentation accuracy.•Optimizing prompts further enhances SAM’s segmentation capabilities.•SAM shows promise for clinical applications and large-scale dataset integration.