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Gamuchirai Tavaziva
Gamuchirai Tavaziva
Verified email at mail.mcgill.ca
Title
Cited by
Cited by
Year
WHO consolidated guidelines on tuberculosis. Module 2: screening-systematic screening for tuberculosis disease
World Health Organization
World Health Organization, 2021
10012021
Diagnostic accuracy of serological tests for covid-19: systematic review and meta-analysis
ML Bastos, G Tavaziva, SK Abidi, JR Campbell, LP Haraoui, JC Johnston, ...
bmj 370, 2020
9882020
Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease
FA Khan, A Majidulla, G Tavaziva, A Nazish, SK Abidi, A Benedetti, ...
The Lancet Digital Health 2 (11), e573-e581, 2020
952020
Biofilm antimicrobial susceptibility increases with antimicrobial exposure time
P Castaneda, A McLaren, G Tavaziva, D Overstreet
Clinical Orthopaedics and Related Research« 474, 1659-1664, 2016
942016
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
G Tavaziva, M Harris, SK Abidi, C Geric, M Breuninger, K Dheda, ...
Clinical Infectious Diseases 74 (8), 1390-1400, 2022
512022
Diagnostic accuracy of serological tests for covid-19: systematic review and meta-analysis. BMJ 370: m2516
M Lisboa Bastos, G Tavaziva, SK Abidi, JR Campbell, LP Haraoui, ...
252020
Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis
G Tavaziva, A Majidulla, A Nazish, S Saeed, A Benedetti, AJ Khan, ...
International Journal of Infectious Diseases 122, 15-20, 2022
152022
Comparative effectiveness of regimens for drug-susceptible tuberculous meningitis in children and adolescents: A systematic review and aggregate-level data meta-analysis
G Sulis, G Tavaziva, G Gore, A Benedetti, R Solomons, R van Toorn, ...
Open forum infectious diseases 9 (6), ofac108, 2022
92022
Diagnostic Accuracy of Serological Tests for Covid-19: Systematic Review and Meta-Analysis. BMJ, 370, m2516
ML Bastos, G Tavaziva, SK Abidi, JR Campbell, L Haraoui, JC Johnston, ...
92020
Artificial intelligence-reported chest X-ray findings of culture-confirmed pulmonary tuberculosis in people with and without diabetes
C Geric, A Majidulla, G Tavaziva, A Nazish, S Saeed, A Benedetti, ...
Journal of Clinical Tuberculosis and Other Mycobacterial Diseases 31, 100365, 2023
32023
Accuracy of cytological vs. Histological specimens for assessment of PD-L1 expression in non-small cell lung cancer: A systematic review and meta-analysis
P Tajarernmuang, F Aliaga, AJ Alwakeel, G Tavaziva, K Turner, ...
Chest, 2023
22023
Accuracy of Cytologic vs Histologic Specimens for Assessment of Programmed Cell Death Ligand-1 Expression in Non-Small Cell Lung Cancer A Systematic Review and Meta-Analysis
P Tajarernmuang, F Aliaga, AJ Alwakeel, G Tavaziva, K Turner, ...
CHEST 165 (2), 2024
2024
Accuracy of Cytological Vs Histological Specimens for Assessment of Programmed Death-ligand 1 Expression in Non-small Cell Lung Cancer: A Systematic Review and Meta-analysis
P Tajarernmuang, F Aliaga, AJ Alwakeel, G Tavaziva, D Menzies, ...
A30. ALL THINGS INTERVENTIONAL PULMONARY A LIVELY POSTER DISCUSSION, A1285-A1285, 2023
2023
PICO 5: Treatment of Pediatric TB Meningitis
G Sulis, G Tavaziva, G Gore, A Benedetti, R Solomons, R van Toorn, ...
WHO consolidated guidelines on tuberculosis, 18, 2022
2022
Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed diseaseá…
FA Khan, A Majidulla, G Tavaziva
LANCET DIGITAL HEALTH 2 (12), E637-E637, 2020
2020
Deep Learning-Based AI Software for Chest X-Ray Analysis to Detect Microbiologically-Confirmed Tuberculosis: A Prospective Study of Diagnostic Accuracy
GC Tavaziva, A Majidulla, A Nazish, SK Abidi, S Saeed, D Menzies, ...
A19. TUBERCULOSIS SCIENCE HIGHLIGHTS, A1046-A1046, 2020
2020
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