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Open Access

Correction

Correction: Opportunistic use of artificial intelligence with X-ray imaging for diagnosis of HIV status in tuberculosis patients in Uganda and Tanzania

  • The PLOS One Staff

Notice of Republication

This article was republished on November 05, 2025, to correct an error in Figure 1C, which did not display correctly due to a production issue. The figure has been replaced with the correct version. The publisher apologizes for the error. Please download this article again to view the correct version. The originally published, uncorrected article and the republished, corrected articles are provided here for reference.

Supporting information

S1 File. Originally published, uncorrected article.

https://doi.org/10.1371/journal.pdig.0001164.s001

(PDF)

S2 File. Republished, corrected article.

https://doi.org/10.1371/journal.pdig.0001164.s002

(PDF)

Reference

  1. 1. Cherezov D, Dam T, Najjingo I, Mbabazi M, Kisembo H, Kirenga B, et al. Opportunistic use of artificial intelligence with X-ray imaging for diagnosis of HIV status in tuberculosis patients in Uganda and Tanzania. PLOS Digit Health. 2025;4(9):e0000988. pmid:40892846

Citation: The PLOS One Staff (2025) Correction: Opportunistic use of artificial intelligence with X-ray imaging for diagnosis of HIV status in tuberculosis patients in Uganda and Tanzania. PLOS Digit Health 4(12): e0001164. https://doi.org/10.1371/journal.pdig.0001164

Published: December 23, 2025

Copyright: © 2025 The PLOS One Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.