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

Robert G. Mannino, David R. Myers, Erika A. Tyburski, Christina Caruso, Jeanne Boudreaux, Traci Leong, G. D. Clifford and Wilbur A. Lam ()
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Robert G. Mannino: The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
David R. Myers: The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
Erika A. Tyburski: The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
Christina Caruso: Emory University School of Medicine
Jeanne Boudreaux: Emory University School of Medicine
Traci Leong: Emory University
G. D. Clifford: The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
Wilbur A. Lam: The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University

Nature Communications, 2018, vol. 9, issue 1, 1-10

Abstract: 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

Date: 2018
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DOI: 10.1038/s41467-018-07262-2

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