Suchergebnisse - Sam Smedinghoff

Use of a health worker-targeted smartphone app to support quality malaria RDT implementation in Busia County, Kenya: A feasibility and acceptability study von Malia Skjefte, Shawna Cooper, Stephen Poyer, Christopher Lourenço, Sam Smedinghoff, Brett Keller, Tonny Wambua, Christine Oduor, Sasha Frade, Wycliffe Waweru

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Malaria RDT (mRDT) interpretation accuracy by frontline health workers compared to AI in Kano state, Nigeria von Sasha Frade, Shawna Cooper, Sam Smedinghoff, David Hattery, Yongshao Ruan, Paul Isabelli, Nirmal Ravi, Megan McLaughlin, Lynn Metz, Barry Finette

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Evaluating an app-guided self-test for influenza: lessons learned for improving the feasibility of study designs to evaluate self-tests for respiratory viruses von Monica L. Zigman Suchsland, Ivan Rahmatullah, Barry Lutz, Victoria Lyon, Shichu Huang, Enos Kline, Chelsey Graham, Shawna Cooper, Philip Su, Sam Smedinghoff, Helen Y. Chu, Kara Sewalk, John S. Brownstein, Matthew J. Thompson, on behalf of Seattle Flu Study investigators

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Measuring the performance of computer vision artificial intelligence to interpret images of HIV self-testing results von Stephanie D. Roche, Obinna I. Ekwunife, Rouella Mendonca, Benn Kwach, Victor Omollo, Shengruo Zhang, Patricia Ongwen, David Hattery, Sam Smedinghoff, Sarah Morris, Daniel Were, Dino Rech, Elizabeth A. Bukusi, Elizabeth A. Bukusi, Elizabeth A. Bukusi, Katrina F. Ortblad

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Artificial intelligence (AI)-driven rapid diagnostic test interpretation in a Connected Diagnostics (ConnDx) system for dynamic malaria surveillance von Felix Bahati, Kevin Omondi Owuor, Emmanuel Milimo, Naomy Onyuka, Alloys K’Oloo, Cem Koyuncu, Patricia Gomez, Natalie Maricich, Sasha Frade, Sam Smedinghoff, Lisette Schutte, Nathalie Houben, Wasunna Owino, Lilyana Dayoo, Gregory Ganda, Simon Kariuki, Julien Reboud, Jonathan M. Cooper, Tobias F. Rinke de Wit

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