AI Model Differentiates BCC vs cSCC Subtypes - Takeaways - MDSpire

AI Model Differentiates BCC vs cSCC Subtypes

External validation identifies calibration shift in COBRA cohort.

  • By

  • Kathryn Wighton

  • March 23, 2026

  • 3 min

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  • 1

    A weakly supervised deep learning model achieved perfect classification of infiltrative basal cell carcinoma and poorly differentiated cutaneous squamous cell carcinoma.

  • 2

    The model demonstrated 100% accuracy, sensitivity, and specificity on an internal test set, with an area under the curve of 1.0.

  • 3

    In external cohorts, the model maintained high performance, achieving an AUC of 1.0 in the Queensland cohort and 0.92 in the COBRA cohort.

  • 4

    Attention heatmaps indicated that the model focused on tumor regions, differentiating between infiltrative atypical squamoid cells and basaloid cells.

  • 5

    The study highlights the need for careful calibration and domain adaptation for reliable deployment of AI models across different institutions.

Original Source(s)

AI Model Differentiates BCC vs cSCC Subtypes

  • by Kathryn Wighton

  • March 23, 2026

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