Recent Findings from Shanghai Jiao Tong University Provides New Insights into Respiratory Distress Syndrome (Development and Validation of a Deep Learning-based Framework for Automated Lung Ct Segmentation and Acute Respiratory Distress...).

The article from Shanghai Jiao Tong University explores the development and validation of a deep learning-based framework for automated lung CT segmentation and early prediction of acute respiratory distress syndrome (ARDS). It states that this study, which involved multiple ICU patients and used the UNet Transformer (UNETR) model, aims to improve early identification of ARDS to facilitate timely intervention and better clinical outcomes.