AIMC Topic: Liver Transplantation
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Prediction of the risk of transplant rejection based on RNA sequencing data of PBMCs before transplantation.
Scientific reports
Aug 4, 2025
Novel methods for detecting transplant rejection are craved, since conventional methods can detect ongoing rejection that may sometimes have already caused irreversible damage in transplanted organs. Here, we applied a transcriptomics database of rec...
AI-assisted intraoperative navigation for safe right liver mobilization in pure laparoscopic donor hepatectomy: an experimental multi-institutional validation study.
Scientific reports
Jul 31, 2025
Minimally invasive liver surgery (MILS) offers significant benefits but faces limited adoption due to its steep learning curve. This study explores the potential of artificial intelligence (AI) in assisting the performance of major MILS by providing ...
The liver reconditioning in critical care medicine.
Current opinion in anaesthesiology
Jun 24, 2025
PURPOSE OF REVIEW: Machine perfusion has emerged as a transformative alternative to static cold storage in liver transplantation, necessitating a comprehensive review of current evidence. This article examines recent advances in preservation techniqu...
Fully robotic recipient left graft living donor liver transplantation.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Mar 31, 2025
We report the first 2 cases of fully robotic recipient left graft living donor liver transplants, demonstrating the technical feasibility of using left grafts, accompanied by a video. We anticipate that making the donor selection criteria more libera...
Bibliometric and LDA analysis of acute rejection in liver transplantation: Emerging trends, immunotherapy challenges, and the role of artificial intelligence.
Cell transplantation
Mar 28, 2025
With the rising demand for liver transplantation (LT), research on acute rejection (AR) has become increasingly diverse, yet no consensus has been reached. This study presents a bibliometric and latent Dirichlet allocation (LDA) topic modeling analys...
Multimodal treatment of colorectal liver metastases: Where are we? Current strategies and future perspectives.
Bioscience trends
Mar 18, 2025
Despite the continued high prevalence of colorectal cancer in the Western world, recent years have witnessed a decline in its mortality rate, largely attributable to the sustained advancement of multimodal treatment modalities for metastatic patients...
A snapshot of challenges and opportunities faced by the scientific workforce in liver transplantation-a survey of the International Liver Transplantation Society (ILTS).
Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
Mar 14, 2025
Basic and translational research (B&TR) in liver transplantation (LT) underwent considerable changes and shifts over the past decade. To capture the current landscape and future potential of B&TR in LT, we conducted an online survey within the Inte...
Development of a natural language processing algorithm to extract social determinants of health from clinician notes.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Mar 6, 2025
Disparities in access to the organ transplant waitlist are well-documented, but research into modifiable factors has been limited due to a lack of access to organized prewaitlisting data. This study aimed to develop a natural language processing (NLP...
Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study.
Scientific reports
Mar 5, 2025
Hepatocellular carcinoma (HCC) recurrence after liver transplantation (LT) is a major contributor to mortality. We developed a recurrence prediction system for HCC patients before and after LT. Data from patients with HCC who underwent LT were retros...
Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review.
BMC medical informatics and decision making
Feb 24, 2025
BACKGROUND: The principles of urgency, utility, and benefit are fundamental concepts guiding the ethical and practical decision-making process for organ allocation; however, LT allocation still follows an urgency model.
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