Development of machine learning model in prediction of the rapid progression of interstitial lung disease in patients with idiopathic inflammatory myopathy - Vienna 2024

The impact of lung imaging in the management of interstitial lung disease of known origin

Chair(s): Vasileios Kouranos, Cara Flynn

Session type: Poster session

Development of machine learning model in prediction of the rapid progression of interstitial lung disease in patients with idiopathic inflammatory myopathy

Yuhui Qiang

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Complicated Silicosis due to silica agglomerates: 18F-FDG PET/CT and systemic inflammatory indices.

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Quantitative metrics on computed tomography can predict the rapid progression of idiopathic inflammatory myopathies-related interstitial lung disease

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Quantitative high-resolution computed tomography features of pulmonary vessel related structures in prediction of rapid progression of idiopathic inflammatory myopathies-related interstitial lung disease

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Development of machine learning model in prediction of the rapid progression of interstitial lung disease in patients with idiopathic inflammatory myopathy

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Late Breaking Abstract - Deep-learning Algorithm FibroNet to Identify Fibrotic Primary Sjögrens Syndrome-associated Interstitial Lung Disease based on Chest HRCT

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CDN Connection Issue

The ERS Congress 2024, Vienna

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