AIMC Topic: Acute Disease

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Deep Learning and Risk Assessment in Acute Pulmonary Embolism.

Radiology Sep 28, 2021
Deep Learning Venous Thrombosis Acute Disease Pulmonary Embolism Humans Risk Assessment
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Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement.

BMC medical imaging Aug 13, 2021
BACKGROUND: Accurate measurement of hemorrhage volume is critical for both the prediction of prognosis and the selection of appropriate clinical treatment after spontaneous intracerebral hemorrhage (ICH). This study aimed to evaluate the performance ...
Diagnosis, Computer-Assisted Deep Learning Cerebral Hemorrhage Acute Disease Adult Male Middle Aged Cerebral Intraventricular Hemorrhage Humans Female Retrospective Studies Aged Tomography, X-Ray Computed
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Detecting neonatal acute bilirubin encephalopathy based on T1-weighted MRI images and learning-based approaches.

BMC medical imaging Jun 22, 2021
BACKGROUND: Neonatal hyperbilirubinemia is a common clinical condition that requires medical attention in newborns, which may develop into acute bilirubin encephalopathy with a significant risk of long-term neurological deficits. The current clinical...
Retrospective Studies Female Infant, Newborn Male Humans Hyperbilirubinemia, Neonatal Kernicterus Acute Disease Chi-Square Distribution Subthalamic Nucleus Deep Learning Globus Pallidus Magnetic Resonance Imaging Diagnosis, Differential
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CKLF and IL1B transcript levels at diagnosis are predictive of relapse in children with pre-B-cell acute lymphoblastic leukaemia.

British journal of haematology Feb 23, 2021
Disease relapse is the greatest cause of treatment failure in paediatric B-cell acute lymphoblastic leukaemia (B-ALL). Current risk stratifications fail to capture all patients at risk of relapse. Herein, we used a machine-learning approach to identi...
Chemokines Recurrence Precursor B-Cell Lymphoblastic Leukemia-Lymphoma MARVEL Domain-Containing Proteins Female Acute Disease Male Survival Analysis Risk Assessment Treatment Failure Adolescent Infant Child Humans Child, Preschool Transcriptome Predictive Value of Tests Machine Learning Interleukin-1beta
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Suspected Acute Pulmonary Embolism: Gestalt, Scoring Systems, and Artificial Intelligence.

Seminars in respiratory and critical care medicine Feb 16, 2021
Pulmonary embolism (PE) remains a diagnostic challenge in 2021. As the pathology is potentially fatal and signs and symptoms are nonspecific, further investigations are classically required. Based on the Bayesian approach, clinical probability became...
Bayes Theorem Pulmonary Embolism Angiography Artificial Intelligence Acute Disease Humans
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Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning-Based Method to Predict Crucial Complication Phenotypes.

Journal of medical Internet research Feb 12, 2021
BACKGROUND: Acute diseases present severe complications that develop rapidly, exhibit distinct phenotypes, and have profound effects on patient outcomes. Predictive analytics can enhance physicians' care and management of patients with acute diseases...
Humans Neural Networks, Computer Research Design Phenotype Deep Learning Acute Disease
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Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules.

Journal of gastroenterology and hepatology Jan 25, 2021
BACKGROUND AND AIM: Guidelines recommend risk stratification scores in patients presenting with gastrointestinal bleeding (GIB), but such scores are uncommonly employed in practice. Automation and deployment of risk stratification scores in real time...
Electronic Health Records Female Male Triage Natural Language Processing Middle Aged Risk Assessment Humans Algorithms Gastrointestinal Hemorrhage Emergency Service, Hospital Clinical Decision Rules Acute Disease Early Diagnosis
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Artificial intelligence in biliopancreatic endoscopy: Is there any role?

Best practice & research. Clinical gastroenterology Dec 29, 2020
Artificial intelligence (AI) research in endoscopy is being translated at rapid pace with a number of approved devices now available for use in luminal endoscopy. However, the published literature for AI in biliopancreatic endoscopy is predominantly ...
Endoscopy Humans Acute Disease Artificial Intelligence Cholangiopancreatography, Endoscopic Retrograde Machine Learning
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Acute hyperglycaemia in cystic fibrosis pulmonary exacerbations.

Endocrinology, diabetes & metabolism Nov 30, 2020
BACKGROUND: Hyperglycaemia may contribute to failure to recover from pulmonary exacerbations in cystic fibrosis (CF). We aimed to evaluate the prevalence and mechanism of hyperglycaemia during and post-exacerbations.
Acute Disease Cystic Fibrosis Glucose Tolerance Test Insulin Secretion Child Hyperglycemia Monitoring, Physiologic Humans Female Young Adult Male Prevalence Disease Progression Adolescent
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Separability of Acute Cerebral Infarction Lesions in CT Based Radiomics: Toward Artificial Intelligence-Assisted Diagnosis.

BioMed research international Nov 15, 2020
This study aims at analyzing the separability of acute cerebral infarction lesions which were invisible in CT. 38 patients, who were diagnosed with acute cerebral infarction and performed both CT and MRI, and 18 patients, who had no positive finding ...
Acute Disease Tomography, X-Ray Computed Cerebral Infarction Humans Female Adult Middle Aged Artificial Intelligence Male Diagnosis, Computer-Assisted Algorithms Image Processing, Computer-Assisted
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