AIMC Topic: End Stage Liver Disease

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Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement.

Cardiovascular and interventional radiology Oct 29, 2024
PURPOSE: To determine the association of machine learning-derived CT body composition and 90-day mortality after transjugular intrahepatic portosystemic shunt (TIPS) and to assess its predictive performance as a complement to Model for End-Stage Live...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Risk Assessment Predictive Value of Tests Body Composition Portasystemic Shunt, Transjugular Intrahepatic End Stage Liver Disease Female Aged Male Middle Aged
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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...
Waiting Lists Survival Analysis Proportional Hazards Models End Stage Liver Disease Machine Learning Female Aged Male Adult Middle Aged Humans Treatment Outcome Liver Transplantation
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Deep learning and the future of the Model for End-Stage Liver Disease-sodium score.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society May 4, 2022
Prognosis Severity of Illness Index Deep Learning Liver Transplantation Sodium Humans End Stage Liver Disease
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Automated Measurements of Body Composition in Abdominal CT Scans Using Artificial Intelligence Can Predict Mortality in Patients With Cirrhosis.

Hepatology communications Jul 7, 2021
Body composition measures derived from already available electronic medical records (computed tomography [CT] scans) can have significant value, but automation of measurements is needed for clinical implementation. We sought to use artificial intelli...
Body Composition Proof of Concept Study Abdominal Fat End Stage Liver Disease Female Aged Male Middle Aged Artificial Intelligence Severity of Illness Index Algorithms Deep Learning Prospective Studies Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed Predictive Value of Tests
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Technological Innovation in Outpatient Assistance for Chronic Liver Disease and Liver Transplant Patients During the Coronavirus Disease Outbreak: A Method to Minimize Transmission.

Clinics (Sao Paulo, Brazil) May 29, 2020
Coronavirus Infections Transplant Recipients Telemedicine Humans Ambulatory Care Pandemics COVID-19 SARS-CoV-2 Robotics Outpatients Liver Transplantation End Stage Liver Disease Betacoronavirus Pneumonia, Viral
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Artificial intelligence, machine learning, and deep learning in liver transplantation.

Journal of hepatology Jun 1, 2023
Liver transplantation (LT) is a life-saving treatment for individuals with end-stage liver disease. The management of LT recipients is complex, predominantly because of the need to consider demographic, clinical, laboratory, pathology, imaging, and o...
Deep Learning Humans Liver Transplantation Artificial Intelligence End Stage Liver Disease Machine Learning
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Development of the AI-Cirrhosis-ECG Score: An Electrocardiogram-Based Deep Learning Model in Cirrhosis.

The American journal of gastroenterology Mar 1, 2022
INTRODUCTION: Cirrhosis is associated with cardiac dysfunction and distinct electrocardiogram (ECG) abnormalities. This study aimed to develop a proof-of-concept deep learning-based artificial intelligence (AI) model that could detect cirrhosis-relat...
Humans Artificial Intelligence Severity of Illness Index Deep Learning Liver Cirrhosis Electrocardiography End Stage Liver Disease
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Reproducibility of Results Clinical Decision Rules End Stage Liver Disease Aged Rifaximin Male Middle Aged Gastrointestinal Hemorrhage Humans Ascites Severity of Illness Index Proton Pump Inhibitors Machine Learning Liver Cirrhosis Gastrointestinal Agents Cohort Studies Infections Anti-Bacterial Agents Water-Electrolyte Imbalance Support Vector Machine ROC Curve Hepatic Encephalopathy Female Patient Readmission Lactulose Logistic Models Paracentesis Kidney Diseases beta-Lactams Mortality Hydrothorax Adrenergic beta-Antagonists
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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...
Liver Transplantation Tissue and Organ Procurement Waiting Lists End Stage Liver Disease Humans Machine Learning Female Male
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Liver and Lung Transplant Advances.

JAMA Mar 12, 2019
Graft Rejection Lung Diseases Liver Transplantation Waiting Lists Male Humans Lung Transplantation End Stage Liver Disease Severity of Illness Index Machine Learning Prognosis Delayed Graft Function Female Cell-Free Nucleic Acids
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