A groundbreaking AI-powered smartphone app now detects anemia using a simple photo of a person’s fingernail. Experts at Chapman University developed this tool to deliver non-invasive, rapid screening for a condition affecting over 2 billion people globally.

Users take a nail selfie. The app then analyzes the image and checks for signs of low hemoglobin levels. The AI system achieved 89% sensitivity and 93% specificity—rivaling the accuracy of traditional blood tests.

It enables immediate results without needles, blood samples, or lab visits. More than 4 million tests have already been performed using the app.

This technology helps people track anemia risks from home, especially those with chronic kidney disease, cancer, or iron deficiency. The app also generates a county-level anemia map, showing prevalence across different regions using geolocation data.

That feature supports public health planning and allows for more targeted healthcare outreach. Researchers say the app has improved anemia monitoring accuracy by 50% in high-risk patients.

Health professionals call it a breakthrough for communities with limited access to diagnostic labs. The app only needs a working smartphone camera—no external devices, blood kits, or wireless wearables.

Medical experts see it as a milestone in digital diagnostics that combines AI, accessibility, and global health.

Future updates will enhance accuracy across diverse skin tones and conditions.

Developers plan to expand partnerships with international health agencies for worldwide rollout.

This innovation makes detecting anemia as simple as taking a photo—but could be life-saving for millions.