Presentations

234.1🎗Development and validation of an interpretable machine learning model for the prediction of early allograft failure following liver transplantation

Jiang Liu (HK)

Bio Abstract

234.2DeepSeek in kidney transplantation: Benchmarking and multi-center evaluation for patient education and clinical decision support

Runmin Ding (CN)

Bio Abstract

234.3Leveraging large languagemodels for systematic thematic analysis in transplant research: Comparative findings across two qualitative studies

Carolyn Sidoti (US)

Bio Abstract

234.4Development and validation of machine learning models using inflammatory indices to predict de novo malignancies after kidney transplantation: A multicenter retrospective study

Yunchao Wang (CN)

Bio Abstract

234.6Artificial intelligence–enhanced prediction of delayed graft function after kidney transplantation: A national registry study

Madhab Ray (US)

Bio Abstract

234.7Comparison of accuarcy of AI-powerwed anatomical landmark based volumetry and cetroidal voronoi tessellation-based Volumetry in Living Donor Liver Transplantation

Jinsoo Rhu (KR)

Bio Abstract