Citations 2
Third annual transplant AI symposium: from organ matching to digital twins
Ramesh, Devina , Manickavel, Praveen , Sidhu, Aman, Kremers, Walter K., Mour, Girish, Ahn, Joseph, Bhat, Mamatha, Sidhu, Aman , Kremers, Walter K. , Mour, Girish , Huebert, Robert C. , Bhat, Mamatha
Frontiers in Transplantation | June 26, 2026 | Volume: 5 | Issue: No issue available | Pages: No page available
The Ajmera Transplant Center and Mayo Clinic hosted the third annual Transplant Artificial Intelligence (AI) Symposium in Toronto, Canada, bringing together expert clinicians, researchers, scientists, and trainees to discuss the current role of AI in transplant medicine. This paper summarizes the third annual Transplant AI Symposium proceedings and talks. Presentations covered a wide range of topics across the transplant continuum, highlighting numerous benefits of AI in transplantation such as organ matching, human-AI collaboration, and survival/risk prediction. Artificial intelligence is most useful when linked to specific clinical problems, especially those involving multimodal or longitudinal data. However, speakers also emphasized ongoing limitations in data quality, generalizability, workflow integration, and fairness. Multiple presentations highlighted the importance of clinician oversight. Overall, the symposium highlighted that the future of transplant AI will depend on careful validation, clinically meaningful implementation, and attention to patient outcomes ( Figure 1 ).
Delayed graft function and long-term outcomes after deceased donor kidney transplantation: insights from mate-kidney analysis
Valencia, Oscar A. Garcia, Alrifai, Ahmed, Mahgoub, Mohammed, Mour, Girish, Smith, Byron, Bentall, Andrew J., Issa, Naim , Riad, Samy, Garcia Valencia, Oscar A, Alrifai, Ahmed Zeen Alabedeen, Mahgoub, Mohammed Y, Issa, Naim S, Cortez, Alexander R. , Valencia, Oscar A. Garcia , Mour, Girish , Bentall, Andrew , Jadlowiec, Caroline C. , Amer, Hatem , Riad, Samy
Transplant International | June 16, 2026 | Volume: 39 | Issue: No issue available | Pages: No page available
Delayed graft function (DGF) is a frequent complication after deceased donor kidney transplantation, yet its long-term impact remains understudied. Heterogeneous populations, short follow-up, and inadequate control of donor-related factors have limited prior studies. Using the Scientific Registry of Transplant Recipients (2005–2024), we evaluated the association between DGF and long-term graft outcomes, including a mate-kidney (same donor, discordant DGF status) analysis to isolate its independent effect. We identified 103,678 dialysis-dependent deceased donor kidney recipients maintained on tacrolimus and mycophenolate. Mixed-effects Cox models, adjusted for donor, recipient, immunologic, and procurement factors. DGF occurred in 30.1% of recipients and was associated with increased death-censored graft failure (HR 1.40; 95% CI 1.33–1.47) and overall graft failure (HR 1.27; 95% CI 1.23–1.31). DGF recipients had higher rejection rates at 6 (6.0% vs. 4.7%) and 12 months (8.9% vs. 7.3%), longer hospital stay, and higher 1-year rehospitalization. In the mate-kidney analysis (6,818 donors), DGF remained strongly associated with death-censored graft failure (HR 1.58; 95% CI 1.39–1.80) and overall graft failure (HR 1.35; 95% CI 1.25–1.46), confirming the independent effect of DGF. DGF is a strong predictor of adverse long-term outcomes irrespective of rejection and warrants targeted prevention strategies and intensified follow-up.