Can AI detect certain diseases by looking at fingernails or toenails ?

AI can analyze images of fingernails and toenails to detect certain medical conditions, leveraging computer vision and machine learning models trained on dermatological datasets. Research has shown potential in identifying signs of conditions like melanoma, fungal infections, and even systemic diseases such as liver or kidney disorders through subtle changes in nail color, texture, or shape. While promising, these tools are not yet as reliable as clinical examinations by trained professionals and require further validation for widespread medical use. Current applications are mostly in early-stage screening or supplementary diagnostics rather than definitive diagnosis.

— Enriched May 13, 2026 · Source: Nature Medicine — https://www.nature.com/articles/s41591-023-02592-7

AI can analyze images of fingernails and toenails to detect certain diseases by identifying visual patterns associated with medical conditions. For example, AI models have been trained to recognize signs of liver disease (e.g., Terry’s nails), kidney disorders, heart conditions, and even some infections or nutritional deficiencies based on nail color, texture, and shape. While these tools show promise in preliminary studies and pilot programs, they are not yet widely adopted as standalone diagnostic methods and typically require validation by healthcare professionals. Current research focuses on improving accuracy and expanding the range of detectable conditions through larger datasets and advanced machine learning techniques.

— Enriched May 13, 2026 · Source: American Academy of Dermatology Association — https://www.aad.org/public/everyday-care/nail-care-secrets