AIMC Topic: Liver Transplantation
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Pediatric Liver Transplant Pathology: An Update and Practical Consideration.
Surgical pathology clinics
Nov 28, 2024
This review provides a summary of the diagnostic approach to pediatric liver transplantation (LT) pathology. It emphasizes the pathologic features of T-cell-mediated rejection, the most common finding on liver allograft biopsies, and discusses other ...
Machine learning for post-liver transplant survival: Bridging the gap for long-term outcomes through temporal variation features.
Computer methods and programs in biomedicine
Sep 29, 2024
BACKGROUND: The long-term survival of liver transplant (LT) recipients is essential for optimizing organ allocation and estimating mortality outcomes. While models like the Model-for-End-Stage-Liver-Disease (MELD) predict 90-day mortality on the wait...
Real-time segmentation of biliary structure in pure laparoscopic donor hepatectomy.
Scientific reports
Sep 28, 2024
Pure laparoscopic donor hepatectomy (PLDH) has become a standard practice for living donor liver transplantation in expert centers. Accurate understanding of biliary structures is crucial during PLDH to minimize the risk of complications. This study ...
A Predictive Model of Pressure Injury in Children Undergoing Living Donor Liver Transplantation Based on Machine Learning Algorithm.
Journal of advanced nursing
Sep 10, 2024
AIMS: The aim of our study was to formulate and validate a prediction model using machine learning algorithms to forecast the risk of pressure injuries (PIs) in children undergoing living donor liver transplantation (LDLT).
Machine-learning model to predict the tacrolimus concentration and suggest optimal dose in liver transplantation recipients: a multicenter retrospective cohort study.
Scientific reports
Aug 28, 2024
Titrating tacrolimus concentration in liver transplantation recipients remains a challenge in the early post-transplant period. This multicenter retrospective cohort study aimed to develop and validate a machine-learning algorithm to predict tacrolim...
Informatics-driven solutions for optimal care delivery in liver transplantation.
Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
Aug 26, 2024
Clinical informatics, which combines health information technology and clinical expertise, aims to improve health care delivery and outcomes. For candidates and recipients of liver transplants, the complexities of their management are vast. Care ofte...
Artificial intelligence-based model for the recurrence of hepatocellular carcinoma after liver transplantation.
Surgery
Aug 23, 2024
BACKGROUND: Artificial intelligence-based models might improve patient selection for liver transplantation in hepatocellular carcinoma. The objective of the current study was to develop artificial intelligence-based deep learning models and determine...
Optimizing post-transplantation outcomes: the role of multi-omics, artificial intelligence, and animal models in addressing immunosuppression-associated hepatotoxicity.
International journal of surgery (London, England)
Aug 1, 2024
Why your doctor is not an algorithm: Exploring logical principles of different clinical inference methods using liver transplantation as a model.
Gastroenterologia y hepatologia
Jun 7, 2024
The development of machine learning (ML) tools in many different medical settings is largely increasing. However, the use of the resulting algorithms in daily medical practice is still an unsolved challenge. We propose an epistemological approach (i....
Deep learning-based pathway-centric approach to characterize recurrent hepatocellular carcinoma after liver transplantation.
Human genomics
Jun 5, 2024
BACKGROUND: Liver transplantation (LT) is offered as a cure for Hepatocellular carcinoma (HCC), however 15-20% develop recurrence post-transplant which tends to be aggressive. In this study, we examined the transcriptome profiles of patients with rec...
Protein Interaction Maps
Gene Regulatory Networks
Gene Expression Regulation, Neoplastic
Signal Transduction
Deep Learning
Liver Neoplasms
Carcinoma, Hepatocellular
Humans
Female
Neoplasm Recurrence, Local
Biomarkers, Tumor
Male
Liver Transplantation
Middle Aged
Gene Expression Profiling
Transcriptome
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