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Nail Disease Classification

The AI-nail-scan for automatic detection of the most common classes of nail diseases.

The hands of a person using a smartphone to scan the nails for nail diseases with AI.
Description

The AI-nail-scan is a deep learning model trained on over 50000 clincial nail images. It can differentiate the most common nail diseases including onychomycosis, non-fungal nail dystrophies, leukonychia, melanonychia and many more.

Detects nail disease type: The model can differentiate between six most common classes of nail diseases.

Trained on over 50k images: The model is trained on a diverse dataset of over 50k images with lab result labels.

Highly accurate: The model achieved 95%+ accuracy when tested with lab confirmed images.