U.S. Researchers Develop AI-Powered App to Detect Anemia from Nail Photos Without Blood Tests
Los Angeles — A new study published Tuesday (May 13) in the Proceedings of the National Academy of Sciences (PNAS) reveals that researchers in the United States have developed a smartphone application powered by artificial intelligence (AI) that can assess hemoglobin levels — the protein found in red blood cells — and screen for anemia using photos of users’ fingernails, eliminating the need for a blood draw.
Los Angeles — A new study published Tuesday (May 13) in the Proceedings of the National Academy of Sciences (PNAS) reveals that researchers in the United States have developed a smartphone application powered by artificial intelligence (AI) that can assess hemoglobin levels — the protein found in red blood cells — and screen for anemia using photos of users’ fingernails, eliminating the need for a blood draw.
The study found that the app demonstrated high accuracy compared to complete blood count (CBC) results, based on data from 9,061 users. With over 1.4 million app uses, researchers were also able to generate real-time anemia prevalence maps across the U.S.
The research team stated that the app's non-invasive and easily accessible screening capabilities make it a promising tool for widespread anemia detection and monitoring — especially in resource-limited areas.
The team also highlighted the app’s potential for personalized health monitoring, allowing individuals with anemia to regularly check their own hemoglobin levels.
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