The Role of Artificial Intelligence, Machine Learning, and Deep Learning in Liver Transplantation

International Journal on Advanced Electrical and Computer Engineering 2026 Open access

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Authors: Ms. Aquila Shaikh, Dr. Rashmita Pradhan, Ms. Khyati Manvar, Dr. Tanuja Mahajan, Rutika Hedaoo
DOI: 10.65521/ijaece.v15i1s.1356
Cited by: 0
References: 3

Abstract

Liver transplantation is a complex, resource-intensive procedure with critical challenges in donor- recipient matching, post-operative care, and long-term outcome prediction. The integration of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) into liver transplantation workflows promises to enhance clinical decision-making, optimize patient outcomes, and streamline resource allocation. This paper reviews recent advancements in AI, ML, and DL applications in liver transplantation, including donor organ evaluation, recipient selection, surgical risk prediction, and post-transplant monitoring. By summarizing key findings and ongoing research, we provide a roadmap for future innovations in this life-saving field.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Organ Transplantation Techniques and Outcomes Artificial Intelligence in Healthcare

Publication details

Journal / source
International Journal on Advanced Electrical and Computer Engineering
Volume
15
Issue
1S
Pages
179–185
Publication date
19 January 2026
Language
EN