Goja S, Yadav SK. Artificial intelligence in liver transplantation: Opportunities and challenges. World J Gastrointest Surg 2025; 17(11): 112058 [DOI: 10.4240/wjgs.v17.i11.112058]
Corresponding Author of This Article
Sanjay Goja, MD, FACS, FRCS, Chief Physician, Director, Liver Transplantation and HPB Surgery, Narayana Health Institute of HPB Surgery and Transplantation, DLF Phase III, Sector 24, Gurugram, Delhi NCR 122002, Harayana, India. drsanjaygoja@gmail.com
Research Domain of This Article
Transplantation
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastrointest Surg. Nov 27, 2025; 17(11): 112058 Published online Nov 27, 2025. doi: 10.4240/wjgs.v17.i11.112058
Artificial intelligence in liver transplantation: Opportunities and challenges
Sanjay Goja, Sanjay Kumar Yadav
Sanjay Goja, Sanjay Kumar Yadav, Liver Transplantation and HPB Surgery, Narayana Health Institute of HPB Surgery and Transplantation, Delhi NCR 122002, Harayana, India
Author contributions: Goja S Designed research, performed research, contributed to analytics, wrote and edited; Yadav SK Performed research, contributed to analytics, wrote and edited paper.
Conflict-of-interest statement: There is no conflict of interest associated with any of the senior author or other coauthors contributed their efforts in this manuscript.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Sanjay Goja, MD, FACS, FRCS, Chief Physician, Director, Liver Transplantation and HPB Surgery, Narayana Health Institute of HPB Surgery and Transplantation, DLF Phase III, Sector 24, Gurugram, Delhi NCR 122002, Harayana, India. drsanjaygoja@gmail.com
Received: July 17, 2025 Revised: August 16, 2025 Accepted: September 25, 2025 Published online: November 27, 2025 Processing time: 131 Days and 22.5 Hours
Core Tip
Core Tip: Artificial intelligence (AI) has the potential to revolutionize liver transplantation by improving outcomes and optimizing resource allocation. It aids in diagnosis, transplant candidacy, matching donors and recipients, donor liver quality, predicting complexities or complications, and providing real-time surgical guidance. Post-transplant, AI can detect early signs of complications, tailoring immunosuppression, enhancing patient and graft survival. By leveraging advanced algorithms and machine learning techniques, AI provides clinicians with powerful tools to improve patient outcomes and streamline the transplantation process. As we move forward, it is imperative to address ethical challenges and ensure the responsible use of AI in healthcare.
