A Multi-Modal Machine-Learning Approach that Combines Imaging and Functional Data Obtained During Ex Vivo Lung Perfusion Significantly Improves Prediction of Transplant Outcomes

In this study, we combined radiographic data with our recently reported machine learning model derived from donor lung function during EVLP to develop a multi-modal approach and better predict LTx outcomes.

Source: The Journal of Heart and Lung Transplantation - April 1, 2024 Category: Transplant Surgery Authors: , J. Ma, M.G. Van Iderstine, M.C. McInnis, X. Zhou, J. Valero, M. Cypel, M. Liu, B. Wang, A.T. Sage, S. Keshavjee Source Type: research