4.8 Article

Smartphone app for non-invasive detection of anemia using only patient-sourced photos

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NATURE COMMUNICATIONS
卷 9, 期 -, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-018-07262-2

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资金

  1. National Science Foundation [DGE-1650044]
  2. National Institutes of Health R21 [EB025646-01]
  3. 2017 Massachusetts General Hospital
  4. NSF ECCS [1542174]
  5. Directorate For Engineering
  6. Div Of Electrical, Commun & Cyber Sys [1542174] Funding Source: National Science Foundation

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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% Cl, 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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