Measuring the performance of computer vision artificial intelligence to interpret images of HIV self-testing results

IntroductionHIV self-testing (HIVST) is highly sensitive and specific, addresses known barriers to HIV testing (such as stigma), and is recommended by the World Health Organization as a testing option for the delivery of HIV pre-exposure prophylaxis (PrEP). Nevertheless, HIVST remains underutilized...

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Autors principals:	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, Katrina F. Ortblad
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2024-02-01
Col·lecció:	Frontiers in Public Health
Matèries:	artificial intelligence HIV self-testing HIV prevention mHealth sub-Saharan Africa differentiated service delivery
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fpubh.2024.1334881/full
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