Tue, Sep 29, 3:00pmBreaking Down Barriers: Addressing Social Determinants of Health in Transplantation
Using Natural Language Processing to Characterize Early Steps in the Kidney Transplant Evaluation Process Documented in the National Veterans Affairs Electronic Health RecordSeptember 2, 2026McKinley Walsh
Using ChatGPT for Kidney Transplantation: Perceived Information Quality by Race and Education LevelsAugust 25, 2026Hwarang Han
Patient Perceptions of Artificial Intelligence-Generated Kidney Transplant Information: Comparing ChatGPT With the National Kidney FoundationAugust 25, 2026Hwarang Han
Smart match: revolutionizing organ allocation through artificial intelligenceJuly 9, 2026McKinley Walsh
Artificial Intelligence: Present and Future Potential for Solid Organ TransplantationJuly 9, 2026McKinley Walsh
Pancreas Rejection in the Artificial Intelligence Era: New Tool for Signal Patients at RiskJuly 9, 2026McKinley Walsh
Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learningJuly 9, 2026McKinley Walsh
Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive modelsJuly 9, 2026McKinley Walsh
Bibliometric and LDA analysis of acute rejection in liver transplantation: Emerging trends, immunotherapy challenges, and the role of artificial intelligenceJuly 9, 2026McKinley Walsh
Machine Learning for 1-Year Mortality Prediction in Lung Transplant Recipients: ISHLT RegistryJuly 9, 2026McKinley Walsh
