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AI-powered app enables anemia screening using fingernail selfies
Anemia affects more than 2 billion people worldwide, including an estimated 83 million Americans at high risk. Now, a new app delivers reliable, accessible screening directly to consumers. A new study co-authored by Chapman University professor and founding dean of the Fowler School of Engineering, Dr. L. Andrew Lyon, unveils a major advancement in noninvasive health technology: a smartphone app that uses artificial intelligence and a photo of a user's fingernail to detect anemia.. Published in the journal Proceedings of the National Academy of Sciences (PNAS), the study demonstrates that this noninvasive, AI-augmented app provides hemoglobin estimates that rival traditional lab testing. With more than 1.4 million tests performed by over 200,000 users, the app represents a scalable, low-cost solution that broadens access to anemia screening, especially in underserved and remote communities. With increased access, this app brings reliable screening directly into the hands of consumers, enabling real-time health monitoring and earlier intervention, empowering users to make informed decisions without waiting for lab results. While not intended for self-diagnosis, the app helps users understand when to consult a healthcare provider. The app is particularly valuable for those with chronic anemia, such as people with kidney disease or cancer, who often require frequent monitoring. The study showed that personalized app use in these patients improved accuracy by nearly 50%, enabling safer, easier at-home management. "This research, more than eight years in the making, represents a meaningful step toward improving accessibility in healthcare," said Dr. Lyon. "It's a testament to long-term collaboration and a commitment to empowering patients through innovation."
[2]
AI-powered app enables anemia screening using fingernail selfies
Anemia affects more than 2 billion people worldwide, including an estimated 83 million Americans at high risk. Now, a new app delivers reliable, accessible screening directly to consumers. A new study co-authored by Chapman University professor and founding dean of the Fowler School of Engineering, Dr. L. Andrew Lyon, unveils a major advancement in noninvasive health technology: a smartphone app that uses artificial intelligence and a photo of a user's fingernail to detect anemia. Published in the Proceedings of the National Academy of Sciences, the study demonstrates that this noninvasive, AI-augmented app provides hemoglobin estimates that rival traditional lab testing. With more than 1.4 million tests performed by more than 200,000 users, the app represents a scalable, low-cost solution that broadens access to anemia screening, especially in underserved and remote communities. With increased access, this app brings reliable screening directly into the hands of consumers, enabling real-time health monitoring and earlier intervention, empowering users to make informed decisions without waiting for lab results. While not intended for self-diagnosis, the app helps users understand when to consult a health care provider. The app is particularly valuable for those with chronic anemia, such as people with kidney disease or cancer, who often require frequent monitoring. The study showed that personalized app use in these patients improved accuracy by nearly 50%, enabling safer, easier at-home management. In addition, geolocation data enabled the first county-level anemia prevalence map in the U.S. Specifically, app personalization for chronic anemia patients improved accuracy (from ±1.36 to ±0.74 g/dL). Hemoglobin (Hgb) estimates showed a mean absolute error of ±0.72 g/dL, improving to ±0.50 g/dL in users with Hgb >10 g/dL. "This research, more than eight years in the making, represents a meaningful step toward improving accessibility in health care," said Dr. Lyon. "It's a testament to long-term collaboration and a commitment to empowering patients through innovation."
[3]
AI app clicks nail selfie to detect blood condition affecting billions
Nearly two billion people across the world suffer from a blood condition called anemia. People living with anemia have a lower than average number of red blood cells, or the hemoglobin (Hgb) protein, and as a result, reduced oxygen carrying capacity. Chronic anemia can lead to serious health issues such as heart attack and organ damage, with pregnant women being at a particularly higher risk. So far, anemia identification has required a visit to the clinic for CBC blood tests, Hemoglobin and Hematocrit analysis, or peripheral blood smear assessment. Recommended Videos What if you could click a selfie of your nails, and an AI-powered app could tell whether you have anemia? That's exactly what experts at Chapman University have developed. The mobile app offers a non-invasive and convenient route to checking signs of anemia with a high degree of accuracy. Does it really work? The app has helped over 200,000 users across the United States and conducted over a million tests as part of a medical study. According to the experts behind it, the app can be deployed as a highly scalable and accessible anemia surveillance tool. The team behind the research found that their app delivered "accuracy and performance that match gold standard laboratory testing and a sensitivity and specificity of 89% and 93%, respectively." Moreover, the app also offers an AI-driven personalization system for people who have already been diagnosed with anemia. Once the app was personalized, the error rate decreased even further. An easily accessible digital tool like this will allow hundreds of millions of patients to regularly monitor their Hgb levels instantly, without having to visit clinics and get expensive blood tests done. In 2020, Sanguina also developed an app called AnemoCheck for people suffering from chronic anemia. Back then, the company said it was not pursuing any regulatory approval for the app, and that it was more of a lifestyle solution. A similar app was tested for public health service in India two years ago and was deemed good enough for screening. What's the core benefit? Experts at Chapman University made it abundantly clear that this app is not a replacement for proper medical tests, nor is it targeted at self-diagnosis. Instead, it merely serves as a warning system that lets users know if they should consult a doctor, especially if they see the pre-existing condition worsening. "The app is particularly valuable for those with chronic anemia, such as people with kidney disease or cancer, who often require frequent monitoring," says the team. In fact, when the app's personalization feature was enabled, the usage increased the accuracy by as much as 50% in the target user pool. The overarching goal is to allow self-monitoring and open the doors for early interventions by experts, without having to wait for lab results to come in. Interestingly, the app's built-in geolocation feature enabled what the team calls "the first county-level anemia prevalence map in the U.S." Experts behind the project are hoping that this app can help improve public health efforts by allowing population-wide anemia screening in tandem with regional mapping. More details about the project can be accessed in the  Proceedings of the National Academy of Sciences (PNAS) journal.
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A new smartphone app using AI technology can detect anemia through fingernail photos, rivaling traditional lab tests in accuracy and potentially improving healthcare accessibility for billions worldwide.
A groundbreaking study published in the Proceedings of the National Academy of Sciences has unveiled a revolutionary smartphone app that uses artificial intelligence to detect anemia through fingernail selfies. Co-authored by Dr. L. Andrew Lyon, professor and founding dean of the Fowler School of Engineering at Chapman University, this research represents a significant advancement in noninvasive health technology 1.
Anemia, a condition affecting over 2 billion people worldwide, including an estimated 83 million Americans at high risk, is characterized by a lower than average number of red blood cells or hemoglobin protein. This results in reduced oxygen-carrying capacity and can lead to serious health issues such as heart attacks and organ damage 2.
The app utilizes artificial intelligence to analyze a photo of the user's fingernail, providing hemoglobin estimates that rival traditional lab testing. With more than 1.4 million tests performed by over 200,000 users, the app has demonstrated its potential as a scalable, low-cost solution for anemia screening 3.
The study revealed impressive accuracy metrics for the AI-powered app:
For patients with chronic anemia, such as those with kidney disease or cancer, the app's personalization feature improved accuracy by nearly 50%, enabling safer and easier at-home management 2.
This innovative app brings reliable screening directly to consumers, enabling real-time health monitoring and earlier intervention. It is particularly valuable in underserved and remote communities where access to traditional lab testing may be limited 1.
The app's geolocation feature has enabled the creation of the first county-level anemia prevalence map in the U.S., opening new possibilities for population-wide anemia screening and regional mapping to support public health efforts 2.
While the app shows great promise, researchers emphasize that it is not intended for self-diagnosis. Instead, it serves as a warning system, helping users understand when to consult a healthcare provider. The development of this technology, which has been more than eight years in the making, represents a significant step towards improving healthcare accessibility and empowering patients through innovation 3.
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