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. 2024 Nov 7;26:e58413. doi: 10.2196/58413

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©Wou young Chung, Jinsik Yoon, Dukyong Yoon, Songsoo Kim, Yujeong Kim, Ji Eun Park, Young Ae Kang. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 07.11.2024.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

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Left: chest radiographs used for the analysis; middle: results of GradCAM; and right: results of LIME. Both the upper and lower panels display chest radiographs that were accurately identified as positive by the model. The analysis in the upper figure focuses on the left lung apex, while the analysis in the lower figure concentrates on the right lung apex, visualizing the areas of frequent tuberculosis occurrences. GradCAM: gradient-weighted class activation mapping; LIME: local interpretable model-agnostic explanations.