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Liver Transplantation

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Artificial intelligence in transplantation (machine-learning classifiers and transplant oncology).

Current opinion in organ transplantation Aug 1, 2020
PURPOSE OF REVIEW: To highlight recent efforts in the development and implementation of machine learning in transplant oncology - a field that uses liver transplantation for the treatment of hepatobiliary malignancies - and particularly in hepatocell...
Decision Support Techniques Liver Neoplasms Carcinoma, Hepatocellular Liver Transplantation Humans Machine Learning
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The rise and fall of the model for end-stage liver disease score and the need for an optimized machine learning approach for liver allocation.

Current opinion in organ transplantation Apr 1, 2020
PURPOSE OF REVIEW: The Model for End-Stage Liver Disease (MELD) has been used to rank liver transplant candidates since 2002, and at the time bringing much needed objectivity to the liver allocation process. However, and despite numerous revisions to...
Male Liver Transplantation Tissue and Organ Procurement Waiting Lists Humans Machine Learning End Stage Liver Disease Female
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[Volume Measurements of Post-transplanted Liver of Pediatric Recipients Using Workstations and Deep Learning].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2020
PURPOSE: The purpose of this study was to propose a method for segmentation and volume measurement of graft liver and spleen of pediatric transplant recipients on digital imaging and communications in medicine (DICOM) -format images using U-Net and t...
Humans Tomography, X-Ray Computed Deep Learning Liver Child Liver Transplantation Image Processing, Computer-Assisted
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Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors.

Diagnostic and interventional radiology (Ankara, Turkey) Jan 1, 2020
PURPOSE: To compare the accuracy and repeatability of emerging machine learning based (i.e. deep) automatic segmentation algorithms with those of well-established semi-automatic (interactive) methods for determining liver volume in living liver trans...
Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Living Donors Liver Transplantation Liver Organ Size Humans Tomography, X-Ray Computed
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Liver and Lung Transplant Advances.

JAMA Mar 12, 2019
Severity of Illness Index Delayed Graft Function Cell-Free Nucleic Acids Graft Rejection Prognosis Female Male Waiting Lists End Stage Liver Disease Lung Diseases Liver Transplantation Lung Transplantation Humans Machine Learning
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Artificial neural networks and liver transplantation: Are we ready for self-driving cars?

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Feb 1, 2018
Humans Neural Networks, Computer Liver Transplantation
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Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Feb 1, 2018
In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based on artificial neural networks (ANNs) from a Spanish multicenter study (Model for Allocation of Donor and Recipient in España [MADR-E]). The aim is to ...
Liver Transplantation Female Graft Survival Waiting Lists Adult Reproducibility of Results Male Risk Factors Humans Decision Support Techniques Computer Simulation Liver Diseases Middle Aged Risk Assessment Neural Networks, Computer Algorithms Time Factors ROC Curve Tissue Donors Donor Selection London Treatment Outcome Area Under Curve
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Robot-assisted Living-donor Left Lateral Sectionectomy.

Chinese medical journal Apr 5, 2017
Hepatectomy Humans Male Infant Robotics Living Donors Liver Transplantation
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Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation Apr 1, 2017
BACKGROUND: The ability to predict graft failure or primary nonfunction at liver transplant decision time assists utilization of scarce resource of donor livers, while ensuring that patients who are urgently requiring a liver transplant are prioritiz...
Area Under Curve Liver Transplantation Patient Selection Victoria Algorithms ROC Curve Treatment Failure Graft Survival Risk Assessment Decision Support Techniques Tissue Donors Donor Selection Predictive Value of Tests Adolescent Time Factors Databases, Factual Male Young Adult Humans Reproducibility of Results Female Adult Middle Aged Risk Factors Machine Learning Aged
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Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem.

Artificial intelligence in medicine Mar 1, 2017
OBJECTIVE: Create an efficient decision-support model to assist medical experts in the process of organ allocation in liver transplantation. The mathematical model proposed here uses different sources of information to predict the probability of orga...
Liver Failure Decision Support Techniques Models, Theoretical Humans Liver Transplantation Neural Networks, Computer Algorithms
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