Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography
🔗2007
🔗Journal/Publication: Medical Physics
🔗Read it in full version: https://doi.org/10.1118/1.2795672
Segmentation of Anatomical Structures in Chest Radiographs Using Supervised Methods: a Comparative Study on a Public Database
Segmentation of Anatomical Structures in Chest Radiographs Using Supervised Methods: a Comparative Study on a Public Database
🔗2006
🔗Journal/Publication: Medical Image Analysis
🔗Read it in full version: https://doi.org/10.1016/j.media.2005.02.002
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis
🔗2002
🔗Journal/Publication: IEEE Transactions on Medical Imaging
🔗Read it in full version: https://ieeexplore.ieee.org/document/993132
Finding the missed millions: innovations to bring tuberculosis diagnosis closer to key populations
Finding the missed millions: innovations to bring tuberculosis diagnosis closer to key populations
🔗2024
🔗Journal/Publication: BMC Global and Public Health
🔗Read it in full version: https://doi.org/10.1186/s44263-024-00063-4
Abstract
Current strategies to promptly, effectively, and equitably screen […]
Tweaking algorithms. Technopolitical issues associated with artificial intelligence based tuberculosis detection in global health
Tweaking algorithms. Technopolitical issues associated with artificial intelligence based tuberculosis detection in global health
🔗2024
🔗Journal/Publication: Sage Journals
🔗Read it in full version: https://doi.org/10.1177/20552076241239778
Abstract
Computer-aided detection algorithms based on artificial intelligence are increasingly being […]
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
🔗2023
🔗Journal/Publication: Nature Medicine
🔗Read it in full version: https://doi.org/10.1038/s41591-023-02437-x
Abstract
Predictive artificial intelligence (AI) systems based on deep learning have been […]
Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health
Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health
🔗2023
🔗Journal/Publication: Social Science & Medicine
🔗Read it in full version: https://doi.org/10.1016/j.socscimed.2023.115949
Abstract
Computer Aided Detection […]
Artificial Intelligence-Based Software with CE Mark for Chest X-ray Interpretation: Opportunities and Challenges
Artificial Intelligence-Based Software with CE Mark for Chest X-ray Interpretation: Opportunities and Challenges
🔗2023
🔗Journal/Publication: Diagnostics
🔗Read it in full version: https://doi.org/10.3390/diagnostics13122020
Abstract
Chest X-ray (CXR) is the most important technique for performing chest imaging, […]
The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination
The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination
🔗2023
🔗Journal/Publication: The International Journal of Tuberculosis and Lung Disease
🔗Read it in full version: https://doi.org/10.5588/ijtld.22.0687
Abstract
We provide an […]
Conditions required for the artificial-intelligence-based computer-aided detection of tuberculosis to attain its global health potential
Conditions required for the artificial-intelligence-based computer-aided detection of tuberculosis to attain its global health potential
🔗2022
🔗Journal/Publication: The Lancet Digital Health
🔗Read it in full version: https://doi.org/10.1016/S2589-7500(22)00172-8