Researchers have developed Inspectra CXR version 5, a deep learning system designed to detect thoracic diseases from chest radiographs in Thailand. The system, which combines classification and lesion localization, was trained on nearly 875,000 images from Siriraj Hospital and achieved high accuracy on both in-domain and independent test sets. A usability evaluation with radiologists indicated strong concordance and a high System Usability Scale score, suggesting the system is trustworthy and effective for clinical use. AI
IMPACT This research demonstrates the potential for localized AI models to improve diagnostic accuracy in regions with radiologist shortages, potentially setting a precedent for similar deployments globally.
RANK_REASON The cluster reports on a research paper detailing the development and validation of a deep learning system for medical imaging analysis.
- DenseNet-121
- Inspectra CXR version 5
- Siriraj Hospital
- Thailand
- Attend-and-Compare Modules
- Bangkok
- Inspectra CXR
- Probabilistic Class Activation Map
- Southeast Asia
- Warasinee Chaisangmongkon
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