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
Application of Artificial Intelligence Techniques to Predict Survival in Kidney Transplantation: A ReviewJuly 9, 2026McKinley Walsh
A transformer-based deep learning approach for fairly predicting post-liver transplant risk factorsJuly 9, 2026McKinley Walsh
Explainable machine learning for prognostic modeling of waitlist mortality in cirrhotic liver transplantationJuly 9, 2026McKinley Walsh
The rise and fall of the model for end-stage liver disease score and the need for an optimized machine learning approach for liver allocationJuly 9, 2026McKinley Walsh
Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directionsJuly 9, 2026McKinley Walsh
Developing and Validating Machine Learning-Driven Risk Indices to Predict Patient Dropout During Referral, Evaluation, and Waitlisting for Kidney TransplantJuly 9, 2026McKinley Walsh
Responsible Use of Artificial Intelligence to Improve Kidney Care: A Statement from the American Society of NephrologyJuly 9, 2026McKinley Walsh
AI, Health, and Health Care Today and Tomorrow; The JAMA Summit Report on Artificial IntelligenceJuly 9, 2026McKinley Walsh
