AIMC Topic: 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...
Female Male Liver Transplantation Tissue and Organ Procurement Humans Machine Learning Waiting Lists End Stage Liver Disease
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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...
Deep Learning Humans Child Tomography, X-Ray Computed Liver Transplantation Image Processing, Computer-Assisted Liver
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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...
Living Donors Liver Transplantation Humans Tomography, X-Ray Computed Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Liver Organ Size
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Liver and Lung Transplant Advances.

JAMA Mar 12, 2019
Machine Learning Prognosis Female Male Humans Lung Diseases Liver Transplantation Lung Transplantation Waiting Lists Severity of Illness Index Delayed Graft Function Cell-Free Nucleic Acids Graft Rejection End Stage Liver Disease
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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 Diseases Donor Selection London Time Factors ROC Curve Tissue Donors Graft Survival Treatment Outcome Humans Adult Area Under Curve Neural Networks, Computer Male Liver Transplantation Female Algorithms Middle Aged Waiting Lists Reproducibility of Results Decision Support Techniques Risk Assessment Risk Factors Computer Simulation
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Robot-assisted Living-donor Left Lateral Sectionectomy.

Chinese medical journal Apr 5, 2017
Humans Male Hepatectomy 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...
Adult Male Middle Aged Risk Assessment Adolescent Time Factors ROC Curve Tissue Donors Reproducibility of Results Risk Factors Aged Young Adult Decision Support Techniques Databases, Factual Female Patient Selection Treatment Failure Donor Selection Victoria Humans Graft Survival Machine Learning Predictive Value of Tests Algorithms Area Under Curve Liver Transplantation
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Pre-transplant cytomegalovirus immunoglobulin G antibody levels could prevent severe cytomegalovirus infections post-transplant in liver transplant recipients: Experience from a tertiary care liver centre.

Indian journal of medical microbiology Jan 1, 2017
BACKGROUND: Humoral immune responses in cytomegalovirus (CMV) are not studied well. Pre-transplant CMV immunoglobulin G (IgG) antibody levels (Pre-Tx IgG) could influence the occurrence of post-transplant CMV infections.
Transplant Recipients Tertiary Healthcare Follow-Up Studies Cytomegalovirus Cytomegalovirus Infections Liver Transplantation Male Middle Aged Risk Assessment Postoperative Complications Adolescent Female Humans Child, Preschool Prospective Studies Aged Immunoglobulin G Child Young Adult Antibodies, Viral Adult
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