《自然-通讯》论文Smartphone app for non-invasive detection of anemia using only patient-sourced photos近日介绍了一个检测贫血的智能手机App，通过分析手机拍摄的指甲床照片能检测贫血，估算血红蛋白水平。这一方法有望取代当前贫血诊断和监控所依赖的实验室血液检测。
摘要：We introduce a paradigm of completely non-invasive, on-demand diagnostics that may replace common blood-based laboratory tests using only a smartphone app and photos. We initially targeted anemia, a blood condition characterized by low blood hemoglobin levels that afflicts >2 billion people. Our app estimates hemoglobin levels by analyzing color and metadata of fingernail bed smartphone photos and detects anemia (hemoglobin levels <12.5 g dL−1) with an accuracy of ±2.4 g dL−1 and a sensitivity of 97% (95% CI, 89–100%) when compared with CBC hemoglobin levels (n = 100 subjects), indicating its viability to serve as a non-invasive anemia screening tool. Moreover, with personalized calibration, this system achieves an accuracy of ±0.92 g dL−1 of CBC hemoglobin levels (n = 16), empowering chronic anemia patients to serially monitor their hemoglobin levels instantaneously and remotely. Our on-demand system enables anyone with a smartphone to download an app and immediately detect anemia anywhere and anytime.
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