Tuberculosis Screening Algorithms
Tuberculosis Screening Algorithms is a systematic method designed to identify individuals with suspected tuberculosis through stepwise clinical and diagnostic criteria, distinguishing it from general screening approaches by its structured, evidence-based sequence of tests and risk assessments tailored to specific populations and epidemiological settings.
206
Publications
8.9K
Citations
1.5K
Authors
521
Institutions
Publications per year
2017–2026
97
Variants
Tb Screening Algorithms
206
Automatic Tuberculosis Screening Using Chest Radiographs
Stefan Jaeger, Alexandros Karargyris, Sema Candemir et al. · IEEE Transactions on Medical Imaging · 2013 · 669 citations
Zhi Zhen Qin, Shahriar Ahmed, Mohammad Shahnewaz Sarker et al. · The Lancet Digital Health · 2021 · 273 citations · Full text
1–5 of 206
1.5K
London School of Hygiene & Tropical Medicine, United Kingdom
7 publications · 278 citations
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7
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London School of Hygiene & Tropical Medicine, United Kingdom
6 publications · 229 citations
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Johns Hopkins University
Baltimore, United States
16 h-index
52 publications
1.5K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
15 h-index
53 publications
2.1K citations

University of Cape Town
Rondebosch, South Africa
15 h-index
53 publications
2.8K citations

Johns Hopkins Medicine
Baltimore, United States
13 h-index
32 publications
896 citations

Makerere University
Kampala, Uganda
12 h-index
51 publications
1.3K citations
South African Medical Research Council
Cape Town, South Africa
11 h-index
22 publications
1.2K citations

Centers for Disease Control and Prevention
Atlanta, United States
11 h-index
35 publications
1.5K citations

University of the Witwatersrand
Johannesburg, South Africa
10 h-index
46 publications
3.1K citations
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34 publications · 1.3K citations
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12 publications · 310 citations
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Repository · 12 publications · 468 citations
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9 publications · 229 citations
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CID · 7 publications · 508 citations
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