AIMC Topic: Acute Disease

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Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke.

International journal of computer assisted radiology and surgery Sep 3, 2019
PURPOSE: Acute ischemic stroke is one of the primary causes of death worldwide. Recent studies have shown that the assessment of collateral status could aid in improving the treatment for patients with acute ischemic stroke. We present a 3D deep regr...
Imaging, Three-Dimensional Follow-Up Studies Magnetic Resonance Imaging Acute Disease Brain Ischemia Humans Neural Networks, Computer Retrospective Studies
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A Diagnostic Prediction Model of Acute Symptomatic Portal Vein Thrombosis.

Annals of vascular surgery Jul 25, 2019
BACKGROUND: The aim of this study was to develop a diagnostic prediction model to improve identification of acute symptomatic portal vein thrombosis (PVT).
Humans Decision Support Techniques Support Vector Machine Venous Thrombosis Adult Predictive Value of Tests Acute Disease Male Portal Vein Middle Aged Diagnosis, Computer-Assisted China Retrospective Studies Female Reproducibility of Results Risk Factors
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Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis.

BMC gastroenterology Jul 4, 2019
BACKGROUND: Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and severe acute pancreatitis (SAP). This study aimed to develop and assess three machine-learning models to predict MOF.
Severity of Illness Index Adult Humans Male Machine Learning APACHE Logistic Models Middle Aged Prognosis Pancreatitis Multiple Organ Failure Risk Assessment Retrospective Studies Predictive Value of Tests Female Acute Disease
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Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis.

Journal of clinical pathology Jun 29, 2019
AIMS: Morphological differentiation among different blast cell lineages is a difficult task and there is a lack of automated analysers able to recognise these abnormal cells. This study aims to develop a machine learning approach to predict the diagn...
Cell Lineage Leukemia Reproducibility of Results Staining and Labeling Diagnosis, Differential Predictive Value of Tests Acute Disease Leukocytes Image Interpretation, Computer-Assisted Pattern Recognition, Automated Blood Specimen Collection Humans Machine Learning
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Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model.

Journal of medical systems Jun 13, 2019
The use of artificial intelligence in medicine is currently an issue of great interest, especially with regard to the diagnostic or predictive analysis of medical data. In order to achieve the regional medical and public health data analysis through ...
Prognosis Risk Assessment Severity of Illness Index Diagnosis, Computer-Assisted Logistic Models Humans Artificial Intelligence Heart Failure Data Mining Renal Insufficiency Support Vector Machine Chronic Disease Acute Disease Bayes Theorem Stroke
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Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.

International journal of environmental health research Mar 31, 2019
This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk facto...
Humans Female Infant, Newborn Risk Factors Aged Aged, 80 and over Age Factors Young Adult Acute Disease Adult Air Pollutants Particulate Matter Environmental Exposure Weather Sex Factors Beijing Respiratory Tract Diseases China Male Adolescent Middle Aged Incidence Infant Child, Preschool Deep Learning Child
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Effects of Food Contamination on Gastrointestinal Morbidity: Comparison of Different Machine-Learning Methods.

International journal of environmental research and public health Mar 7, 2019
Morbidity prediction can be useful in improving the effectiveness and efficiency of medical services, but accurate morbidity prediction is often difficult because of the complex relationships between diseases and their influencing factors. This study...
Food Contamination Acute Disease Neural Networks, Computer Gastrointestinal Diseases Machine Learning Deep Learning China Humans
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Characterization of clot composition in acute cerebral infarct using machine learning techniques.

Annals of clinical and translational neurology Mar 4, 2019
OBJECTIVE: Clot characteristics can provide information on the cause of cerebral artery occlusion and may guide acute revascularization and secondary prevention strategies. We developed a rapid automated clot analysis system using machine learning (M...
Endovascular Procedures Infarction, Middle Cerebral Artery Thrombosis Atrial Fibrillation Brain Ischemia Neuroimaging Male Middle Aged Acute Disease Stroke Machine Learning Humans Female Aged Aged, 80 and over Adult
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An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets.

Nature biomedical engineering Dec 17, 2018
Owing to improvements in image recognition via deep learning, machine-learning algorithms could eventually be applied to automated medical diagnoses that can guide clinical decision-making. However, these algorithms remain a 'black box' in terms of h...
Intracranial Hemorrhages Algorithms Deep Learning Acute Disease Databases as Topic
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Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

Nutrition (Burbank, Los Angeles County, Calif.) Oct 24, 2018
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, this association in patients in the intensive care unit (ICU) has not been fully elucidated. The aim of this study was to investigate whether the serum...
Vitamin D Deficiency Female C-Reactive Protein Humans Aged Acute Disease Prognosis Male Infections Adult Respiratory Insufficiency Critical Illness Middle Aged Liver Failure Cross-Sectional Studies APACHE Intensive Care Units Neoplasms Severity of Illness Index Organ Dysfunction Scores Respiration, Artificial Time Factors Patient Admission Comorbidity Hospital Mortality Vitamin D
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