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AI Model Differentiates BCC vs cSCC Subtypes

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A weakly supervised deep learning model has achieved perfect classification of infiltrative basal cell carcinoma and poorly differentiated cutaneous squamous cell carcinoma on whole-slide histopathology images. Developed using a multiple-instance learning model and feature extraction from a vision transformer, the study validated the model with external cohorts, showing high sensitivity and specificity in varied conditions. The findings underscore the potential for artificial intelligence in dermatopathology, emphasizing the need for calibration across different institutions.

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