Diabetic Skin Conditions: AI Detection of Acanthosis Nigricans, Dermopathy, and More

Diabetes Technology · 2 · February 14, 2026

Diabetes affects the skin in ways most patients don't recognize. Dark, velvety patches on your neck? That's acanthosis nigricans — a visible sign of insulin resistance. Shiny round spots on your shins? Diabetic dermopathy. Our Skin Analysis feature uses AI to identify these conditions from a simple photo.

How It Works

Take a photo of your skin concern using your phone. Upload it to the platform. The AI vision system analyzes the image for patterns consistent with diabetes-related skin conditions, including acanthosis nigricans, diabetic dermopathy, necrobiosis lipoidica, eruptive xanthomatosis, and skin tags.

Conditions Detected

Acanthosis Nigricans: Dark, thickened patches in skin folds (neck, armpits, groin). Present in up to 74% of obese patients with Type 2 diabetes. Often the first visible sign of insulin resistance — appearing years before diabetes diagnosis.

Diabetic Dermopathy: Light brown, scaly patches on the shins. Found in up to 55% of people with diabetes. Harmless but diagnostic — their presence suggests microvascular damage.

Diabetic Foot Ulcers: Open wounds on the feet that don't heal. This is the most serious skin complication — responsible for 80% of diabetes-related amputations. Early detection is critical.

Risk Levels and Next Steps

Each analysis returns a risk level (low, moderate, high) with specific recommendations. High-risk findings (especially foot ulcers) trigger urgent alerts to seek in-person medical evaluation. The AI doesn't replace diagnosis — it accelerates detection.

Key Takeaways

• AI identifies 5+ diabetes-related skin conditions from a photo
• Acanthosis nigricans appears years before diabetes diagnosis in many patients
• Diabetic foot ulcers cause 80% of diabetes-related amputations — early detection saves limbs
• Risk-level output with specific next steps for each condition

Scan your skin at Skin Analysis.