Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study

Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study

Introduction Diagnosing pulmonary tuberculosis (PTB) in children is challenging owing to paucibacillary disease, non-specific symptoms and signs and challenges in microbiological confirmation. Chest X-ray (CXR) interpretation is fundamental for diagnosis and classifying disease as severe or non-seve...

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Main Authors: Heather J Zar, Savvas Andronikou, Lesley Workman, Tehmina Mustafa, Dennis Robert, Brekhna Aurangzeb, Cynthia Baard, Abid Ali Qureshi, Aneela Shaheen, Atiqa Ambreen, David McFarlane, Humera Javed, Iqbal Bano, Justy Antony Chiramal, Tanyia Pillay, Zoe Franckling-Smith
Format: Article
Language:English
Published: BMJ Publishing Group 2025-07-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/15/7/e105881.full
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