A multi-center study reveals a critical clinical AI paradox: the highest-performing deep learning model for kidney injury prediction failed in real-world deployment, while a less accurate alternative proved most reliable. Original paper: Deep learning models for acute kidney injury prediction: multi-center external validation and evaluation under simulated continuous monitoring conditions. — NPJ digital medicine. 10.1038/s41746-026-02722-2 📄 Read the article