This study developed and evaluated a deep learning algorithm for automated segmentation of basal cell carcinoma on Mohs frozen section slides. The AI model demonstrated high accuracy in identifying tumor regions, showing potential for assisting Mohs surgeons in margin assessment and reducing interpretation time.

Deep learning algorithms can accurately segment BCC on Mohs frozen sections, offering potential as a computer-aided detection tool.

AI-assisted margin assessment may improve efficiency and reduce diagnostic errors during Mohs surgery for BCC.