AI tool "PanDerm" now helps doctors spot skin cancer earlier by doing what no other AI can - analyzing multiple types of skin images at once.

Tejal Somvanshi

Doctors using PanDerm improved their skin cancer diagnosis accuracy by 11%, while non-specialists saw a 16.5% boost in spotting various skin conditions.

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PanDerm can detect concerning skin changes that even trained dermatologists might miss, potentially saving lives through earlier treatment.

Photo Source: Valerie R. Yanofsky (CC BY 4.0)

Skin problems affect 70% of people worldwide, with over 3,000 different skin diseases that doctors must identify correctly.

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In the US alone, about 9,500 people are diagnosed with skin cancer every day, and more than two people die from it every hour.

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PanDerm learned from over two million skin images from 11 institutions across multiple countries, helping it work well across different skin types.

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Unlike older AI systems that only do one task, PanDerm screens for cancer, tracks changes in moles, counts moles, and predicts if cancer might return.

Photo Source: National Institutes of Health (CC 1.0)

"This kind of assistance could support earlier diagnosis and more consistent monitoring for patients at high risk of melanoma," says Professor Victoria Mar.

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PanDerm doesn't replace doctors – it helps them process complex images quickly, potentially leading to faster appointments and shorter waiting times for patients.

Photo Source: Kumar Kranti Prasad (Pexels)

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