A new machine-learning model identifies patients at high risk for post-operative infections immediately at surgery’s end, achieving 88% accuracy by analyzing intraoperative vital-sign dynamics. Original paper: End-of-surgery prediction of postoperative infectious complications from intraoperative vital-sign dynamics. — NPJ digital medicine. 10.1038/s41746-026-02707-1 📄 Read the article