Early user experience and lessons learned using ultra-portable digital X-ray with computer-aided detection (DXR-CAD) products: A qualitative study from the perspective of healthcare providers

Review Immunology

Subclinical Tuberculosis Disease-A Review and Analysis of Prevalence Surveys to Inform Definitions, Burden, Associations, and Screening Methodology

Beatrice Frascella et al.

Summary: A substantial proportion of individuals with TB present subclinically, usually defined as bacteriologically-confirmed but negative on symptom screening. The median proportion of prevalent bacteriologically confirmed TB that is subclinical is 50.4%. Further research is needed to explore associations with overall burden and program indicators.

CLINICAL INFECTIOUS DISEASES (2021)

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Article Immunology

A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers

Zhi Zhen Qin et al.

Summary: The availability of AI-powered CAD products for detecting TB-related abnormalities in chest X-rays has increased. These products offer a solution to the shortage of radiologists in high TB-burden countries. Before adoption, TB programs need to consider factors such as diagnostic accuracy and implementation features. The AI4HLTH website serves as a valuable resource for information on CAD tools to help TB programs choose the most suitable product.

TUBERCULOSIS (2021)

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Article Multidisciplinary Sciences

Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis

Andrew J. Codlin et al.

Summary: This study evaluated the performance characteristics of various CAD software solutions for TB screening, finding that six systems performed on par with Expert Readers and some software even outperformed Intermediate Readers. History of TB among participants and the radiography equipment used were found to affect the performance of CAD software.

SCIENTIFIC REPORTS (2021)

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Article Computer Science, Artificial Intelligence