AIMC Topic: Liver Transplantation

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Artificial Intelligence in Liver Transplantation.

Transplantation proceedings Nov 2, 2021
BACKGROUND: Advancements based on artificial intelligence have emerged in all areas of medicine. Many decisions in organ transplantation can now potentially be addressed in a more precise manner with the aid of artificial intelligence.
Artificial Intelligence Tissue Donors Bayes Theorem Liver Transplantation Humans Neural Networks, Computer
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Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation.

PloS one May 21, 2021
Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the increasing number of recipients and the small amount of donors in liver transplantation, the allocation method is crucial. In this paper, to establish a...
Tissue and Organ Procurement Histocompatibility Testing Bayes Theorem Liver Transplantation Transplant Recipients Humans Tissue Donors Databases, Factual Logistic Models Support Vector Machine Data Interpretation, Statistical
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Who does the model learn from?

The Lancet. Digital health Apr 12, 2021
Deep Learning Liver Transplantation Risk Assessment
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Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data.

The Lancet. Digital health Apr 12, 2021
BACKGROUND: Survival of liver transplant recipients beyond 1 year since transplantation is compromised by an increased risk of cancer, cardiovascular events, infection, and graft failure. Few clinical tools are available to identify patients at risk ...
Canada Logistic Models United States Predictive Value of Tests Databases, Factual Risk Assessment Deep Learning Retrospective Studies Humans ROC Curve Aged Female Algorithms Area Under Curve Adult Liver Transplantation Male Middle Aged
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Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation.

Respiratory research Mar 31, 2021
BACKGROUND: Pneumonia is the most frequently encountered postoperative pulmonary complications (PPC) after orthotopic liver transplantation (OLT), which cause high morbidity and mortality rates. We aimed to develop a model to predict postoperative pn...
Support Vector Machine Pneumonia Predictive Value of Tests Liver Transplantation Risk Assessment Deep Learning Treatment Outcome Retrospective Studies Electronic Health Records Female Risk Factors Adult Male Middle Aged Humans Machine Learning
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An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 11, 2021
INTRODUCTION: Liver transplantation (LT) is an effective treatment for hepatocellular carcinoma (HCC), the most common type of primary liver cancer. Patients with small HCC (<5 cm) are given priority over others for transplantation due to clinical al...
Risk Assessment Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Humans Artificial Intelligence Prognosis Retrospective Studies Neoplasm Recurrence, Local Liver Transplantation
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Dynamics of Systemic Inflammation as a Function of Developmental Stage in Pediatric Acute Liver Failure.

Frontiers in immunology Jan 15, 2021
The Pediatric Acute Liver Failure (PALF) study is a multicenter, observational cohort study of infants and children diagnosed with this complex clinical syndrome. Outcomes in PALF reflect interactions among the child's clinical condition, response to...
Predictive Value of Tests Risk Factors Child Biomarkers Liver Transplantation Humans Male Diagnosis, Computer-Assisted Inflammation Inflammation Mediators Infant Machine Learning Age Factors Adolescent Decision Support Techniques Time Factors Child, Preschool Liver Failure, Acute Prognosis Female Reproducibility of Results
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AI finally provides augmented intelligence to liver surgeons.

EBioMedicine Oct 20, 2020
Artificial Intelligence Surgeons Deep Learning Fatty Liver Liver Biopsy Liver Transplantation Humans Primary Graft Dysfunction
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Living Donor Liver Transplant: Send in the Robots.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Oct 19, 2020
Robotics Hepatectomy Humans Living Donors Propensity Score Adult Robotic Surgical Procedures Liver Transplantation
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Deep learning quantification of percent steatosis in donor liver biopsy frozen sections.

EBioMedicine Sep 24, 2020
BACKGROUND: Pathologist evaluation of donor liver biopsies provides information for accepting or discarding potential donor livers. Due to the urgent nature of the decision process, this is regularly performed using frozen sectioning at the time of b...
Immunohistochemistry Molecular Sequence Annotation Frozen Sections Living Donors Biopsy Severity of Illness Index Liver Transplantation Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Fatty Liver
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