A new automated deep learning system can detect focal liver lesions in ultrasound videos in real-time, and critically, it levels the playing field—helping less experienced sonographers match the performance of veteran specialists. Original paper: Automated deep learning for real-time focal liver lesions detection in ultrasound videos a multicenter study. — NPJ digital medicine. 10.1038/s41746-026-02629-y 📄 Read the article

A novel deep learning model combining digital pathology with clinical data accurately predicts early recurrence in gastric cancer, while identifying a subset of patients with immune-activated tumors potentially responsive to immunotherapy. Original paper: A deep learning-based digital biopsy for predicting early recurrence in gastric cancer. — Nature communications. 10.1038/s41467-026-71347-6 📄 Read the article

A comprehensive framework identifies seven critical failure modes in AI deployment across clinical medicine and proposes new competencies for clinicians and developers to ensure trustworthy implementation. Original paper: Seven deadly sins in artificial intelligence for digital medicine. — NPJ digital medicine. 10.1038/s41746-026-00391-1 📄 Read the article