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

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Bibliographic Details
Title: Measuring the performance of computer vision artificial intelligence to interpret images of HIV self-testing results.
Authors: Roche SD; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States., Ekwunife OI; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States., Mendonca R; Audere, Seattle, WA, United States., Kwach B; Centre for Microbiology Research, Kenya Medical Research Institute, Kisumu, Kenya., Omollo V; Centre for Microbiology Research, Kenya Medical Research Institute, Kisumu, Kenya., Zhang S; Department of Epidemiology, University of Washington, Seattle, WA, United States., Ongwen P; Jhpiego, Nairobi, Kenya., Hattery D; Audere, Seattle, WA, United States., Smedinghoff S; Audere, Seattle, WA, United States., Morris S; Audere, Seattle, WA, United States., Were D; Jhpiego, Nairobi, Kenya., Rech D; Audere, Seattle, WA, United States., Bukusi EA; Centre for Microbiology Research, Kenya Medical Research Institute, Kisumu, Kenya.; Department of Global Health, University of Washington, Seattle, WA, United States.; Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, United States., Ortblad KF; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Source: Frontiers in public health [Front Public Health] 2024 Feb 07; Vol. 12, pp. 1334881. Date of Electronic Publication: 2024 Feb 07 (Print Publication: 2024).
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2296-2565
DOI:10.3389/fpubh.2024.1334881