Postoperative atelectasis (lung collapse) after lung surgery has traditionally been assessed subjectively by radiologists. A new study demonstrates that automated deep learning can quantify severity objectively and predict clinical outcomes. Original paper: Deep-learning based quantitative evaluation of postoperative atelectasis following right upper lobectomy. — NPJ digital medicine. 10.1038/s41746-026-02683-6 📄 Read the article