CAPTURE Study
Cross-source consensus on CAPTURE Study from 1 sources and 5 claims.
1 sources · 5 claims
Uses
Benefits
Risks & contraindications
Background
Where it comes from
Highlighted claims
- CAPTURE is coordinated by FIND, Stellenbosch University, and the University of California San Francisco. — 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
- The held-out CAPTURE validation set is one-third of the repository, selected to be representative across age, sex, TB disease spectrum, geographic origin, HIV status, and nutritional status. — 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
- Approximately 20 qualifying studies were identified through a systematic review of TB diagnostic studies from 2012 to 2022, representing a potential pool of up to 11,000 CXRs. — 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
- CAPTURE's principal strengths include geographic diversity, dual blinded expert CXR reads, a wide range of CAD products evaluated, and acceptance of multiple image formats including from analogue X-ray machines. — 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
- A key limitation of CAPTURE is the variability in data completeness and the challenge of harmonising clinical variables across contributing studies with different original designs. — 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