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Liver Failure, Acute

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Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

Computer methods and programs in biomedicine 31104700
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and t...
Acetaminophen Adult Area Under Curve Bayes Theorem Databases, Factual Female Humans Linear Models Liver Failure, Acute Machine Learning Male Middle Aged Predictive Value of Tests Prognosis Registries Retrospective Studies ROC Curve Sensitivity and Specificity Severity of Illness Index Treatment Outcome
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Dynamics of Systemic Inflammation as a Function of Developmental Stage in Pediatric Acute Liver Failure.

Frontiers in immunology 33519820
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...
Adolescent Age Factors Biomarkers Child Child, Preschool Decision Support Techniques Diagnosis, Computer-Assisted Female Humans Infant Inflammation Inflammation Mediators Liver Failure, Acute Liver Transplantation Machine Learning Male Predictive Value of Tests Prognosis Reproducibility of Results Risk Factors Time Factors
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A deep learning approach for acute liver failure prediction with combined fully connected and convolutional neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine 38759076
BACKGROUND: Acute Liver Failure (ALF) is a critical medical condition with rapid development, often caused by viral infections, hepatotoxic drug abuse, or other severe liver diseases. Timely and accurate prediction of ALF occurrence is clinically cru...
Deep Learning Female Humans Liver Failure, Acute Male Neural Networks, Computer
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Evaluating the synergistic use of advanced liver models and AI for the prediction of drug-induced liver injury.

Expert opinion on drug metabolism & toxicology 39893552
INTRODUCTION: Drug-induced liver injury (DILI) is a leading cause of acute liver failure. Hepatotoxicity typically occurs only in a subset of individuals after prolonged exposure and constitutes a major risk factor for the termination of drug develop...
Animals Chemical and Drug Induced Liver Injury Drug Development Drug Evaluation, Preclinical Humans Liver Liver Failure, Acute Machine Learning Models, Biological Risk Assessment Risk Factors
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