Improving Tuberculosis Diagnosis Through Artificial Intelligence (CAD4TB) and Stool Xpert MTB/RIF Testing: A Prospective Study From Oromia, Ethiopia

The combined use of CAD4TB and stool Xpert testing significantly improves tuberculosis detection, particularly among HHCs in high-burden, low-resource settings. This strategy is especially valuable in children and adults unable to produce sputum and where radiological expertise is limited.

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Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-12-01
DOI
https://doi.org/10.1093/ofid/ofaf725
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
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article

Improving Tuberculosis Diagnosis Through Artificial Intelligence (CAD4TB) and Stool Xpert MTB/RIF Testing: A Prospective Study From Oromia, Ethiopia

Giovanni Putoto, Federico Giovanni Gobbi, Lorenzo Guglielmetti, Abdi Reta et al.
Open Forum Infectious Diseases
Tuberculosis Research and Epidemiology
article

Improving Tuberculosis Diagnosis Through Artificial Intelligence (CAD4TB) and Stool Xpert MTB/RIF Testing: A Prospective Study From Oromia, Ethiopia

Giovanni Putoto, Federico Giovanni Gobbi, Lorenzo Guglielmetti, Abdi Reta, Alemseged Abdissa, Flavio Bobbio, Melaku Tilahun, Francesco Cavallin, Berhanu Gulo, Worku Nigussa, Giacomo Guido, Beatrice Zauli, Birhanu Kenate, Francesco Vladimiro Segala, Giordano Madeddu, Annalisa Saracino, Francesco Di Gennaro, Kidist Bobosha, Roberta Iatta, Sergio Cotugno, Azmach Biset Asmare, Fabio Manenti, Nicola Veronese, Mulugeta Miressa, Abata Surra
article en

Abstract

The combined use of CAD4TB and stool Xpert testing significantly improves tuberculosis detection, particularly among HHCs in high-burden, low-resource settings. This strategy is especially valuable in children and adults unable to produce sputum and where radiological expertise is limited.

Open Forum Infectious DiseasesVol. 13(1)
University of Sassari (IT), Brescia University (US), Saint Camillus International University of Health and Medical Sciences (IT), Ospedale Sacro Cuore Don Calabria (IT), Doctors with Africa Cuamm (IT), Oromiyaa Regional Health Bureau (ET), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Armauer Hansen Research Institute (ET), Statisticon (Sweden) (SE), St Lukes Hospital (GB), University of Bari Aldo Moro (IT), University of Brescia (IT)
Openalex Percentile: Top 54%
Tuberculosis Research and Epidemiology
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