Publication Name	World Journal of Gastrointestinal Surgery
Manuscript ID	112058
Country	India

Category	Transplantation
Manuscript Type	Minireviews
Article Title	Artificial intelligence in liver transplantation: Opportunities and challenges
Manuscript Source	Invited Manuscript
All Author List	Sanjay Goja and Sanjay Kumar Yadav
Funding Agency and Grant Number
Corresponding Author	Sanjay Goja, Chief Physician, Director, FACS, FRCS, MD, 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
Key Words	Artificial intelligence; Machine learning; Deep learning; Organ allocation; Cirrhosis; Liver transplantation; Neural networks
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.
Citation	Goja S, Yadav SK. Artificial intelligence in liver transplantation: Opportunities and challenges. World J Gastrointest Surg 2025; In press

Received	2025-07-17 03:41
Peer-Review Started	2025-07-17 03:41
To Make the First Decision
Return for Revision	2025-08-06 06:13
Revised	2025-08-16 07:24
Second Decision	2025-09-25 02:36
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-09-25 03:08
Articles in Press	2025-09-25 03:08
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-9366 (online)
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