Pathology Machine-Learning Models and Diagnosis of Nonmelanoma Skin Cancers in Resource-Limited Settings - Summary - MDSpire
From the Journals

Pathology Machine-Learning Models and Diagnosis of Nonmelanoma Skin Cancers in Resource-Limited Settings

Artificial intelligence (AI) models, which were pretrained on vast data sets, outperformed a standard baseline model in identifying nonmelanoma skin cancers from digital images of tissue samples, base...

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Artificial intelligence models pretrained on large datasets demonstrated superior performance in identifying nonmelanoma skin cancers from digital images, potentially expanding cancer diagnosis to resource-limited settings. The study evaluated foundation models and developed simplified versions, with implications for improving cancer diagnosis in areas with limited resources.

Original Source(s)

Pathology Machine-Learning Models and Diagnosis of Nonmelanoma Skin Cancers in Resource-Limited Settings

  • by Susan Reckling

  • April 6, 2026

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