Special Topic

Topic: Precision Liver Transplantation: Integrating Artificial Intelligence, Machine Perfusion, Xenotransplantation, Robotics, and Transplant Oncology

A Special Topic of Mini-invasive Surgery

ISSN 2574-1225 (Online)

Submission deadline: 31 Aug 2027

Guest Editors

Prof. Ulf Neumann
Department of General, Visceral, and Transplant Surgery, Essen University Hospital, Essen, Germany.
Dr. Zoltan Czigany
Section of Liver and Visceral Transplantation Surgery, Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.

Special Topic Introduction

Liver transplantation is undergoing a profound transformation driven by advances in precision medicine and emerging technologies. Beyond traditional surgical innovations, the integration of artificial intelligence (AI), machine perfusion, robotic surgery, and transplant oncology is reshaping not just the traditional indications but also every stage of the transplant pathway, from donor organ assessment and recipient selection to surgical execution and long-term outcome prediction.

 

Machine perfusion technologies have expanded the utilization of marginal donor organs and opened new opportunities for graft assessment and organ reconditioning. Artificial intelligence and machine learning-based predictive models are increasingly supporting clinical decision-making, risk stratification, and personalized transplant management. Robotic platforms continue to advance minimally invasive donor and recipient procedures, while transplant oncology is redefining indications and candidate selection through biomarkers, radiomics, and novel systemic therapies.

 

Collectively, these innovations are accelerating the transition from traditional transplantation medicine to precision liver transplantation, enabling more individualized, data-driven, and technology-enabled care. This Special Issue aims to provide a platform for original research, reviews, technical reports, and expert perspectives that explore the convergence of these emerging fields and their impact on the future of liver transplantation.

 

Topics of interests:

● Machine perfusion and organ reconditioning;

● Normothermic and hypothermic oxygenated perfusion (NMP, HOPE, D-HOPE);

● Xenotransplantation and xenoperfusion;

● Artificial intelligence and machine learning in liver transplantation;

● Predictive analytics and clinical decision-support systems;

● Digital surgery and robotic liver transplantation;

● Robotic donor hepatectomy and minimally invasive transplantation;

● Precision donor-recipient matching and organ allocation;

● Biomarkers, radiomics, and multi-omics in transplantation;

● Transplant oncology for hepatocellular carcinoma (HCC);

● Liver transplantation for cholangiocarcinoma and metastatic liver tumors;

● Immunotherapy and transplantation;

● Organ preservation and extended-criteria donor utilization;

● Digital twins and computational modeling in transplantation;

● Personalized immunosuppression and immune monitoring;

● Future technologies and innovation in liver transplantation.

Keywords

Liver transplantation, surgical complexity, precision surgery, intraoperative decision-making, surgical workflow integration, image-guided surgery, minimally invasive liver surgery, clinical outcomes

Submission Deadline

31 Aug 2027

Submission Information

For Author Instructions, please refer to https://www.oaepublish.com/mis/author_instructions
For Online Submission, please login at https://www.oaecenter.com/login?JournalId=mis&IssueId=mis26072110553
Submission Deadline: 31 Aug 2027
Contacts: Mary Ma, Science Editor, [email protected]

Published Articles

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Mini-invasive Surgery
ISSN 2574-1225 (Online)

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Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/