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AI enhances lung ultrasound for better ILD detection

Researchers at Stanford University have successfully applied deep learning to lung ultrasound images to detect interstitial lung disease in patients with systemic sclerosis and inflammatory myopathy. The study published in Arthritis Care & Research highlights the use of convolutional neural networks like VGG-16, which demonstrated high sensitivity and specificity. This approach could standardize ILD detection, reduce operator variability and expand access to high-quality screening. Healio (free registration) (4/30)