Cargando…
Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy
BACKGROUND: Automated radiologic analysis using computer-aided detection software (CAD) could facilitate chest X-ray (CXR) use in tuberculosis diagnosis. There is little to no evidence on the accuracy of commercially available deep learning-based CAD in different populations, including patients with...
Autores principales: | Tavaziva, Gamuchirai, Harris, Miriam, Abidi, Syed K, Geric, Coralie, Breuninger, Marianne, Dheda, Keertan, Esmail, Aliasgar, Muyoyeta, Monde, Reither, Klaus, Majidulla, Arman, Khan, Aamir J, Campbell, Jonathon R, David, Pierre-Marie, Denkinger, Claudia, Miller, Cecily, Nathavitharana, Ruvandhi, Pai, Madhukar, Benedetti, Andrea, Ahmad Khan, Faiz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049274/ https://www.ncbi.nlm.nih.gov/pubmed/34286831 http://dx.doi.org/10.1093/cid/ciab639 |
Ejemplares similares
-
Diagnosing tuberculosis in hospitalized HIV-infected individuals who cannot produce sputum: is urine lipoarabinomannan testing the answer?
por: Sabur, Natasha F., et al.
Publicado: (2017) -
Triage of Persons With Tuberculosis Symptoms Using Artificial Intelligence–Based Chest Radiograph Interpretation: A Cost-Effectiveness Analysis
por: Nsengiyumva, Ntwali Placide, et al.
Publicado: (2021) -
Development, roll-out and impact of Xpert MTB/RIF for tuberculosis: what lessons have we learnt and how can we do better?
por: Albert, Heidi, et al.
Publicado: (2016) -
Impact of the diagnostic test Xpert MTB/RIF on patient outcomes for tuberculosis
por: Haraka, Frederick, et al.
Publicado: (2021) -
Accuracy of line probe assays for the diagnosis of pulmonary and multidrug-resistant tuberculosis: a systematic review and meta-analysis
por: Nathavitharana, Ruvandhi R., et al.
Publicado: (2017)