Paediatric Tuberculosis

Uses

How it works

Risks & contraindications

Background

Highlighted claims

• Approximately 1.3 million children under 15 develop tuberculosis each year, with 191,000 dying from the disease. — Catalysing Artificial Intelligence for Paediatric Tuberculosis Research (CAPTURE): protocol for a global multicentre study establishing a paediatric chest X-ray repository to evaluate computer-aided detection algorithms
• Children represent 12% of global TB cases but account for 15% of TB mortality, a disproportionate share driven largely by diagnostic failure. — Catalysing Artificial Intelligence for Paediatric Tuberculosis Research (CAPTURE): protocol for a global multicentre study establishing a paediatric chest X-ray repository to evaluate computer-aided detection algorithms
• Sputum-based microbiological confirmation is difficult in children because collecting respiratory specimens is invasive and results are frequently negative due to paucibacillary disease. — Catalysing Artificial Intelligence for Paediatric Tuberculosis Research (CAPTURE): protocol for a global multicentre study establishing a paediatric chest X-ray repository to evaluate computer-aided detection algorithms
• Simple, non-sputum-based point-of-care diagnostic tools are urgently needed for childhood TB. — Catalysing Artificial Intelligence for Paediatric Tuberculosis Research (CAPTURE): protocol for a global multicentre study establishing a paediatric chest X-ray repository to evaluate computer-aided detection algorithms
• Children under 5 years face the greatest risk of severe TB disease. — Catalysing Artificial Intelligence for Paediatric Tuberculosis Research (CAPTURE): protocol for a global multicentre study establishing a paediatric chest X-ray repository to evaluate computer-aided detection algorithms