AIMC Topic: Acute Disease

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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 ...
Acute Disease Humans Cholangiopancreatography, Endoscopic Retrograde Artificial Intelligence Machine Learning Endoscopy
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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.
Young Adult Acute Disease Humans Male Cystic Fibrosis Adolescent Glucose Tolerance Test Female Disease Progression Child Insulin Secretion Prevalence Hyperglycemia Monitoring, Physiologic
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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 ...
Humans Female Diagnosis, Computer-Assisted Artificial Intelligence Adult Image Processing, Computer-Assisted Algorithms Male Acute Disease Tomography, X-Ray Computed Middle Aged Cerebral Infarction
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The opportunities and challenges of machine learning in the acute care setting for precision prevention of posttraumatic stress sequelae.

Experimental neurology Nov 4, 2020
Personalized medicine is among the most exciting innovations in recent clinical research, offering the opportunity for tailored screening and management at the individual level. Biomarker-enriched clinical trials have shown increased efficiency and i...
Precision Medicine Prognosis Stress Disorders, Post-Traumatic Acute Disease Humans Machine Learning Biomarkers
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The Challenges of Implementing Artificial Intelligence into Surgical Practice.

World journal of surgery Oct 13, 2020
BACKGROUND: Artificial intelligence is touted as the future of medicine. Classical algorithms for the detection of common bile duct stones (CBD) have had poor clinical uptake due to low accuracy. This study explores the challenges of developing and i...
Biliary Tract Diseases Cholangiopancreatography, Endoscopic Retrograde Bilirubin Liver Function Tests Male Middle Aged Predictive Value of Tests Acute Disease Choledocholithiasis Artificial Intelligence Machine Learning Computer Simulation Humans Retrospective Studies Female Aged Aged, 80 and over Adult
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Explainable artificial intelligence model to predict acute critical illness from electronic health records.

Nature communications Jul 31, 2020
Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Early clinical prediction is typically based on manually calculated screening metrics that simply weigh these pa...
Electronic Health Records Sepsis ROC Curve Blood Pressure Artificial Intelligence Prognosis Acute Kidney Injury Critical Illness Acute Lung Injury Area Under Curve Acute Disease Heart Rate Early Diagnosis Humans
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Recurrent probabilistic neural network-based short-term prediction for acute hypotension and ventricular fibrillation.

Scientific reports Jul 20, 2020
In this paper, we propose a novel method for predicting acute clinical deterioration triggered by hypotension, ventricular fibrillation, and an undiagnosed multiple disease condition using biological signals, such as heart rate, RR interval, and bloo...
Humans Neural Networks, Computer Time Factors Probability Blood Pressure Databases as Topic Acute Disease Ventricular Fibrillation Hypotension Heart Rate
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A novel and simple machine learning algorithm for preoperative diagnosis of acute appendicitis in children.

Pediatric surgery international Apr 20, 2020
INTRODUCTION: There is a tendency toward nonoperative management of appendicitis resulting in an increasing need for preoperative diagnosis and classification. For medical purposes, simple conceptual decision-making models that can learn are widely u...
Child, Preschool Child Diagnosis, Differential Acute Disease Appendicitis Preoperative Period Appendectomy Machine Learning Algorithms Female Male Humans
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A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.

Nature communications Mar 4, 2020
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce antibiotic overuse, and lower healthcare costs. Here, we develop a generalizable host-gene-expression-based classifier for acute bacterial and viral ...
Datasets as Topic Humans Host-Pathogen Interactions Virus Diseases Gene Expression Profiling Sepsis Aged, 80 and over Hospital Mortality Adult ROC Curve Male RNA, Messenger Neural Networks, Computer Middle Aged Support Vector Machine Intensive Care Units Bacterial Infections Female Acute Disease Aged
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Evaluation of acute pulmonary embolism and clot burden on CTPA with deep learning.

European radiology Feb 16, 2020
OBJECTIVES: To take advantage of the deep learning algorithms to detect and calculate clot burden of acute pulmonary embolism (APE) on computed tomographic pulmonary angiography (CTPA).
Middle Aged Deep Learning Acute Disease Pulmonary Embolism Heart Ventricles Computed Tomography Angiography Ventricular Function, Right Aged Adult Sensitivity and Specificity Male Humans Retrospective Studies Female Reproducibility of Results
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