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.

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Title: 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.
Authors: Palmer M; Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, South Africa meganpalmer@sun.ac.za., Kik SV; TB Programme, FIND, Geneva, Switzerland., Kohli M; TB Programme, FIND, Geneva, Switzerland., Fataar A; Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, South Africa., Anyebe V; TB Programme, FIND, Geneva, Switzerland., Frey N; Digital Health Unit, FIND, Geneva, Switzerland., Castro R; Division of Pulmonary and Critical Care Medicine, UCSF, San Francisco, California, USA., Nerurkar R; Division of Paediatric Infectious Diseases, UCSF, San Francisco, California, USA., van der Westhuizen JN; Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, South Africa., Macé A; Digital Health Unit, FIND, Geneva, Switzerland., Ruhwald M; TB Programme, FIND, Geneva, Switzerland., Seddon JA; Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, South Africa.; Department of Infectious Diseases, Imperial College London, London, UK., Jaganath D; Division of Paediatric Infectious Diseases, UCSF, San Francisco, California, USA.
Corporate Authors: CAPTURE Consortium group
Source: BMJ open [BMJ Open] 2026 Jan 12; Vol. 16 (1), pp. e108668. Date of Electronic Publication: 2026 Jan 12.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101552874 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-6055 (Electronic) Linking ISSN: 20446055 NLM ISO Abbreviation: BMJ Open Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2044-6055
DOI:10.1136/bmjopen-2025-108668