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


ABSTRACT: 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.

SUBMITTER: Mannino RG 

PROVIDER: S-EPMC6279826 | biostudies-other | 2018 Dec

REPOSITORIES: biostudies-other

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

Mannino Robert G RG   Myers David R DR   Tyburski Erika A EA   Caruso Christina C   Boudreaux Jeanne J   Leong Traci T   Clifford G D GD   Lam Wilbur A WA  

Nature communications 20181204 1


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<sup>-1</sup>) with an accuracy of ±2.4 g dL<sup>-1</su  ...[more]

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