AIMC Topic: Acute Disease
Clear Filters Showing 151 to 160 of 173 articles
Clinical decision support using machine learning and natriuretic peptides for the diagnosis of acute heart failure.
European heart journal. Acute cardiovascular care
Jun 30, 2024
Artificial intelligence-based tools with automated segmentation and measurement on CT images to assist accurate and fast diagnosis in acute pancreatitis.
The British journal of radiology
Jun 18, 2024
OBJECTIVES: To develop an artificial intelligence (AI) tool with automated pancreas segmentation and measurement of pancreatic morphological information on CT images to assist improved and faster diagnosis in acute pancreatitis.
Machine Learning for Clinical Decision Support of Acute Streptococcal Pharyngitis: A Pilot Study.
The Israel Medical Association journal : IMAJ
May 1, 2024
BACKGROUND: Group A Streptococcus (GAS) is the predominant bacterial pathogen of pharyngitis in children. However, distinguishing GAS from viral pharyngitis is sometimes difficult. Unnecessary antibiotic use contributes to unwanted side effects, such...
Interpretable Machine Learning Models Using Peripheral Immune Cells to Predict 90-Day Readmission or Mortality in Acute Heart Failure Patients.
Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
Jan 1, 2024
BACKGROUND: Acute heart failure (AHF) carries a grave prognosis, marked by high readmission and mortality rates within 90 days post-discharge. This underscores the urgent need for enhanced care transitions, early monitoring, and precise interventions...
Measuring the Impact of AI in the Diagnosis of Hospitalized Patients: A Randomized Clinical Vignette Survey Study.
JAMA
Dec 19, 2023
IMPORTANCE: Artificial intelligence (AI) could support clinicians when diagnosing hospitalized patients; however, systematic bias in AI models could worsen clinician diagnostic accuracy. Recent regulatory guidance has called for AI models to include ...
A different way to diagnosis acute appendicitis: machine learning.
Polski przeglad chirurgiczny
Oct 13, 2023
<b><br>Indroduction:</b> Machine learning is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.</br> <b><br&g...
[Segmentation of acute pulmonary embolism in computed tomography pulmonary angiography using the deep learning method].
Tuberkuloz ve toraks
Jun 1, 2023
ABSTRACT: Segmentation of acute pulmonary embolism in computed tomography pulmonary angiography using the deep learning method
Deep Learning Models for Severity Prediction of Acute Pancreatitis in the Early Phase From Abdominal Nonenhanced Computed Tomography Images.
Pancreas
Jan 1, 2023
OBJECTIVES: To develop and validate deep learning (DL) models for predicting the severity of acute pancreatitis (AP) by using abdominal nonenhanced computed tomography (CT) images.
Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.
Renal failure
Dec 1, 2022
BACKGROUND: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the intensive care unit (ICU). Acute kidney disease (AKD) affects ∼45% of patients with AKI and increases short-term mortality. However, there are no studies o...
EASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis.
Clinical and translational medicine
Jun 1, 2022
BACKGROUND: Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the pancreas. Early identification of patients at high risk for developing a severe course of the disease is crucial for preventing organ failure and death. Mos...
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