Improving Tuberculosis Diagnosis Through Artificial Intelligence (CAD4TB) and Stool Xpert MTB/RIF Testing: A Prospective Study From Oromia, Ethiopia
Giacomo Guido(University of Bari Aldo Moro), Francesco Di Gennaro(University of Bari Aldo Moro), Lorenzo Guglielmetti(Ospedale Sacro Cuore Don Calabria), Abdi Reta(St Lukes Hospital), Alemseged Abdissa(Armauer Hansen Research Institute), Flavio Bobbio(Catholic University of South Sudan), Melaku Tilahun(Armauer Hansen Research Institute), Francesco Cavallin, Berhanu Gulo, Worku Nigussa, Beatrice Zauli(University of Sassari), Birhanu Kenate(Oromiyaa Regional Health Bureau), Francesco Vladimiro Segala(Ospedale Pediatrico Giovanni XXIII), Giordano Madeddu(University of Sassari), Annalisa Saracino, Kidist Bobosha(Armauer Hansen Research Institute), Roberta Iatta(University of Bari Aldo Moro), Sergio Cotugno(University of Bari Aldo Moro), Azmach Biset Asmare, Fabio Manenti(Doctors with Africa Cuamm), Nicola Veronese(University of Health Science), Mulugeta Miressa(Doctors with Africa Cuamm), Giovanni Putoto(Doctors with Africa Cuamm), Abata Surra(St Lukes Hospital), Federico Gobbi(Ospedale Sacro Cuore Don Calabria)
Cited by 0
Related Papers
Treatment correlates of successful outcomes in pulmonary multidrug-resistant tuberculosis: an individual patient data meta-analysis
|The Lancet|2018|639
Epidemiology of invasive fungal infections in the intensive care unit: results of a multicenter Italian survey (AURORA Project)
|Infection|2013|184
Phylogenomics and antimicrobial resistance of the leprosy bacillus Mycobacterium leprae
|Nature Communications|2018|122
Incidence of long COVID-19 in people with previous SARS-Cov2 infection: a systematic review and meta-analysis of 120,970 patients
|Internal and Emergency Medicine|2022|113
Coronavirus disease 2019 (COVID‐19)–related smell and taste impairment with widespread diffusion of severe acute respiratory syndrome–coronavirus‐2 (SARS‐CoV‐2) Omicron variant
|International Forum of Allergy & Rhinology|2022|106