AI in Liver Transplant Allocation and Viability Assessment: Applications and Limitations

Artificial intelligence is reshaping how transplant teams approach organ allocation, waitlist risk stratification, graft assessment, and machine perfusion monitoring. Dr. Neil D. Shah reviews the current evidence, emerging tools, and the governance considerations that will determine how these technologies enter clinical practice. In this segment: Current limitations of MELD and the case for AI-assisted waitlist mortality modeling The OPOM score and neural network models outperforming MELD and MELD-Sodium AI for sarcopenia, frailty, steatosis grading, and ascites quantification from imaging AI-integrated machine perfusion: real-time lactate, bile pH, flow rates, and viability prediction Bias amplification risk when training on historically disparate allocation data Governance frameworks, transparency requirements, and stepwise implementation considerations Speaker: Dr. Neil D. Shah, Associate Professor of Medicine, University of North Carolina at Chapel Hill; Program Director, Transplant Hepatology; Associate Medical Director, Liver Transplantation; Member, OPTN Liver and Intestine Committee and National Liver Review Board. For the full video visit https://www.inedsys.com This material is intended for healthcare professionals for educational purposes and is not medical advice. #ArtificialIntelligence #LiverTransplant #OrganAllocation #TransplantHepatology #MELD