Liver transplant recipients are at risk of graft injury, yet diagnosis currently relies on invasive biopsies with associated risks. Here the authors developed and validated a non-invasive AI model, GraftIQ, which integrates clinician expertise with machine learning to accurately predict graft pathology and support clinical decision-making.
- Divya Sharma
- Neta Gotlieb
- Mamatha Bhat
