AIMC Topic: Acute Disease

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Achieving Value by Risk Stratification With Machine Learning Model or Clinical Risk Score in Acute Upper Gastrointestinal Bleeding: A Cost Minimization Analysis.

The American journal of gastroenterology Nov 23, 2023
INTRODUCTION: We estimate the economic impact of applying risk assessment tools to identify very low-risk patients with upper gastrointestinal bleeding who can be safely discharged from the emergency department using a cost minimization analysis.
Humans Machine Learning Acute Disease Gastrointestinal Hemorrhage Costs and Cost Analysis Risk Factors Risk Assessment Severity of Illness Index
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A Novel Tool for Predicting an Abnormal Echocardiogram in Patients with Pulmonary Embolism: The PEACE Score.

The Journal of emergency medicine Nov 22, 2023
BACKGROUND: Transthoracic echocardiography (TTE) is an essential tool for risk-stratifying patients with pulmonary embolism (PE), but its availability is limited, often requiring hospitalization. Minimal research exists evaluating clinical and labora...
Ventricular Dysfunction, Right Acute Disease Troponin T Pulmonary Embolism Adult Echocardiography Humans Retrospective Studies Tomography, X-Ray Computed
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Forecasting the Acute Heart Failure Admissions: Development of Deep Learning Prediction Model Incorporating the Climate Information.

Journal of cardiac failure Nov 10, 2023
BACKGROUND: Climate is known to influence the incidence of cardiovascular events. However, their prediction with traditional statistical models remains imprecise.
Deep Learning Incidence Acute Disease Heart Failure Humans Hospitalization
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Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia Using Flow Cytometry.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Nov 3, 2023
The current flow cytometric analysis of blood and bone marrow samples for diagnosis of acute myeloid leukemia (AML) relies heavily on manual intervention in the processing and analysis steps, introducing significant subjectivity into resulting diagno...
Cytogenetics Deep Learning Humans Acute Disease Leukemia, Myeloid, Acute Flow Cytometry
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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) Oct 26, 2023
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...
Randomized Controlled Trials as Topic Acute Disease Disability Evaluation Male Middle Aged China Cerebral Hemorrhage Double-Blind Method Time Factors Recovery of Function Treatment Outcome Drugs, Chinese Herbal Multicenter Studies as Topic Humans Female Functional Status Prospective Studies Aged Adult
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Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis.

Academic radiology Sep 27, 2023
RATIONALE AND OBJECTIVES: This study aimed to develop and validate a deep learning and radiomics combined model for differentiating complicated from uncomplicated acute appendicitis (AA).
Adult Radiomics Deep Learning Humans Retrospective Studies Appendicitis Area Under Curve Acute Disease
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Artificial intelligence for predicting acute appendicitis: a systematic review.

ANZ journal of surgery Jul 17, 2023
BACKGROUND: Paediatric appendicitis may be challenging to diagnose, and outcomes difficult to predict. While diagnostic and prognostic scores exist, artificial intelligence (AI) may be able to assist with these tasks.
Databases, Factual Child Acute Disease Artificial Intelligence Algorithms Appendicitis Humans
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Radiologist Worklist Reprioritization Using Artificial Intelligence: Impact on Report Turnaround Times for CTPA Examinations Positive for Acute Pulmonary Embolism.

AJR. American journal of roentgenology Apr 5, 2023
In patients with acute pulmonary embolism (PE), timely intervention (e.g., initiation of anticoagulation) is critical for optimizing clinical outcomes. The purpose of this study was to evaluate the effect of artificial intelligence (AI)-based radio...
Middle Aged Acute Disease Radiologists Pulmonary Embolism Computed Tomography Angiography Aged Adult Male Retrospective Studies Female Humans Artificial Intelligence
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Using Transfer Learning of Convolutional Neural Network on Neck Radiographs to Identify Acute Epiglottitis.

Journal of digital imaging Jan 19, 2023
Acute epiglottitis (AE) is a life-threatening condition and needs to be recognized timely. Diagnosis of AE with a lateral neck radiograph yields poor reliability and sensitivity. Convolutional neural networks (CNN) are powerful tools to assist the an...
Reproducibility of Results Deep Learning Acute Disease Neural Networks, Computer Epiglottitis Artificial Intelligence Humans Retrospective Studies
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Early prediction of acute necrotizing pancreatitis by artificial intelligence: a prospective cohort-analysis of 2387 cases.

Scientific reports May 12, 2022
Pancreatic necrosis is a consistent prognostic factor in acute pancreatitis (AP). However, the clinical scores currently in use are either too complicated or require data that are unavailable on admission or lack sufficient predictive value. We there...
Humans Artificial Intelligence Prospective Studies Retrospective Studies Acute Disease Necrosis Pancreatitis, Acute Necrotizing
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