Artificial Intelligence‐Aided Lung Ultrasound Detection of Interstitial Lung Disease in Systemic Sclerosis and Inflammatory Myopathy

Key Points

• The study aims to evaluate the effectiveness of deep learning in detecting interstitial lung disease (ILD) using lung ultrasound (LUS) in patients with systemic sclerosis and inflammatory myopathy.
• Application of deep learning algorithms to analyze lung ultrasound images.
• Evaluation of deep learning effectiveness compared to expert interpretation.
• Focus on pleural features for ILD recognition even with infrequent B-lines.
• Deep learning algorithms showed high accuracy in detecting ILD in patients with connective tissue disease.
• AI can enhance expert interpretation of lung ultrasound images.
• Pleural features were identified as critical indicators for reliable ILD recognition.