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Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study
- Source :
- The Lancet Digital Health; January 2024, Vol. 6 Issue: 1 pe44-e57, 14p
- Publication Year :
- 2024
-
Abstract
- Artificial intelligence (AI) systems for automated chest x-ray interpretation hold promise for standardising reporting and reducing delays in health systems with shortages of trained radiologists. Yet, there are few freely accessible AI systems trained on large datasets for practitioners to use with their own data with a view to accelerating clinical deployment of AI systems in radiology. We aimed to contribute an AI system for comprehensive chest x-ray abnormality detection.
Details
- Language :
- English
- ISSN :
- 25897500
- Volume :
- 6
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- The Lancet Digital Health
- Publication Type :
- Periodical
- Accession number :
- ejs64834442
- Full Text :
- https://doi.org/10.1016/S2589-7500(23)00218-2