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Acute Disease

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Efficacy and Safety of Chinese Herbal Medicine in Patients with Acute Intracerebral Hemorrhage: Protocol for a Randomized Placebo-Controlled Double-Blinded Multicenter Trial.

Cerebrovascular diseases (Basel, Switzerland) 39250890
INTRODUCTION: The popular traditional Chinese medicine (TCM) compound FYTF-919 (Zhong Feng Xing Nao prescription) may improve outcome from acute intracerebral hemorrhage (ICH) through effects on brain edema, hematoma absorption, and the immune system...
Acute Disease Adult Aged Cerebral Hemorrhage China Disability Evaluation Double-Blind Method Drugs, Chinese Herbal Female Functional Status Humans Male Middle Aged Multicenter Studies as Topic Prospective Studies Randomized Controlled Trials as Topic Recovery of Function Time Factors Treatment Outcome
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Multimodal deep learning models utilizing chest X-ray and electronic health record data for predictive screening of acute heart failure in emergency department.

Computer methods and programs in biomedicine 39126913
BACKGROUND AND OBJECTIVES: Ambiguity in diagnosing acute heart failure (AHF) leads to inappropriate treatment and potential side effects of rescue medications. To address this issue, this study aimed to use multimodality deep learning models combinin...
Acute Disease Aged Deep Learning Electronic Health Records Emergency Service, Hospital Female Heart Failure Humans Male Middle Aged Natriuretic Peptide, Brain Peptide Fragments Radiography, Thoracic ROC Curve
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Comparison of machine learning and conventional statistical modeling for predicting readmission following acute heart failure hospitalization.

American heart journal 39094840
INTRODUCTION: Developing accurate models for predicting the risk of 30-day readmission is a major healthcare interest. Evidence suggests that models developed using machine learning (ML) may have better discrimination than conventional statistical mo...
Acute Disease Aged Aged, 80 and over Female Heart Failure Hospitalization Humans Machine Learning Male Middle Aged Models, Statistical Ontario Patient Readmission Retrospective Studies Risk Assessment
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Identification of severe acute pediatric asthma phenotypes using unsupervised machine learning.

Pediatric pulmonology 39073377
RATIONALE: More targeted management of severe acute pediatric asthma could improve clinical outcomes.
Acute Disease Adolescent Asthma Child Child, Preschool Cluster Analysis Female Hospitalization Humans Male Phenotype Retrospective Studies Severity of Illness Index Unsupervised Machine Learning
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Prediction of mortality events of patients with acute heart failure in intensive care unit based on deep neural network.

Computer methods and programs in biomedicine 39236563
BACKGROUND: Acute heart failure (AHF) in the intensive care unit (ICU) is characterized by its criticality, rapid progression, complex and changeable condition, and its pathophysiological process involves the interaction of multiple organs and system...
Acute Disease Aged Algorithms Data Mining Databases, Factual Deep Learning Electronic Health Records Female Heart Failure Hospital Mortality Humans Intensive Care Units Machine Learning Male Middle Aged Neural Networks, Computer Prognosis Risk Factors
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Meta-analysis of the effectiveness of early endoscopic treatment of Acute biliary pancreatitis based on lightweight deep learning model.

BMC gastroenterology 39198766
BACKGROUND: Acute biliary pancreatitis (ABP) is a clinical common acute abdomen. After the first pancreatitis, relapse rate is high, which seriously affects human life and health and causes great economic burdens to family and society. According to a...
Acute Disease Cholangiopancreatography, Endoscopic Retrograde Deep Learning Humans Length of Stay Operative Time Pancreatitis Time-to-Treatment Treatment Outcome
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Prediction of short-term adverse clinical outcomes of acute pulmonary embolism using conventional machine learning and deep Learning based on CTPA images.

Journal of thrombosis and thrombolysis 39342072
To explore the predictive value of traditional machine learning (ML) and deep learning (DL) algorithms based on computed tomography pulmonary angiography (CTPA) images for short-term adverse outcomes in patients with acute pulmonary embolism (APE). T...
Acute Disease Aged Computed Tomography Angiography Deep Learning Female Humans Machine Learning Male Middle Aged Predictive Value of Tests Prognosis Pulmonary Embolism Retrospective Studies Risk Factors ROC Curve
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An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.

Clinical neuroradiology 39325081
PURPOSE: Intracranial hemorrhage (ICH) is a life-threatening condition requiring rapid diagnostic and therapeutic action. This study evaluates whether Artificial intelligence (AI) can provide high-quality ICH diagnostics and turnaround times suitable...
Acute Disease Aged Algorithms Artificial Intelligence Female Germany Humans Intracranial Hemorrhages Male Middle Aged Neural Networks, Computer Pilot Projects Sensitivity and Specificity Tomography, X-Ray Computed Workflow
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Machine learning predicts acute respiratory failure in pancreatitis patients: A retrospective study.

International journal of medical informatics 39321493
PURPOSE: The purpose of the research is to design an algorithm to predict the occurrence of acute respiratory failure (ARF) in patients with acute pancreatitis (AP).
Acute Disease Adult Aged Algorithms Bayes Theorem Female Humans Logistic Models Machine Learning Male Middle Aged Pancreatitis Respiratory Insufficiency Retrospective Studies ROC Curve
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Machine learning analysis of contrast-enhanced ultrasound (CEUS) for the diagnosis of acute graft dysfunction in kidney transplant recipients.

Medical ultrasonography 39231287
AIM: The aim of the study was to develop machine learning algorithms (MLA) for diagnosing acute graft dysfunction (AGD) in kidney transplant recipients based on contrast-enhanced ultrasound (CEUS) analysis of the graft.Materials and methods: This pro...
Acute Disease Adult Contrast Media Female Humans Image Enhancement Kidney Kidney Transplantation Machine Learning Male Middle Aged Postoperative Complications Primary Graft Dysfunction Prospective Studies Reproducibility of Results Sensitivity and Specificity Ultrasonography
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