AIMC Topic: Pulmonary Embolism
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A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.
Journal of the American Medical Informatics Association : JAMIA
Oct 20, 2014
BACKGROUND: Venous thromboembolisms (VTEs), which include deep vein thrombosis (DVT) and pulmonary embolism (PE), are associated with significant mortality, morbidity, and cost in hospitalized patients. To evaluate the success of preventive measures,...
Meta-analysis of AI-based pulmonary embolism detection: How reliable are deep learning models?
Computers in biology and medicine
Jul 1, 2025
RATIONALE AND OBJECTIVES: Deep learning (DL)-based methods show promise in detecting pulmonary embolism (PE) on CT pulmonary angiography (CTPA), potentially improving diagnostic accuracy and workflow efficiency. This meta-analysis aimed to (1) determ...
Accuracy of a deep neural network for automated pulmonary embolism detection on dedicated CT pulmonary angiograms.
European journal of radiology
Jun 1, 2025
PURPOSE: To assess the performance of a Deep Neural Network (DNN)-based prototype algorithm for automated PE detection on CTPA scans.
Pulmonary Artery
Male
Middle Aged
Deep Learning
Radiographic Image Interpretation, Computer-Assisted
Pulmonary Embolism
Computed Tomography Angiography
Aged, 80 and over
Adult
Sensitivity and Specificity
Female
Reproducibility of Results
Aged
Algorithms
Retrospective Studies
Humans
Neural Networks, Computer
A predictive model for hospital death in cancer patients with acute pulmonary embolism using XGBoost machine learning and SHAP interpretation.
Scientific reports
May 25, 2025
The prediction of in-hospital mortality in cancer patients with acute pulmonary embolism (APE) remains a significant clinical challenge. This study aimed to develop and validate a machine learning model using XGBoost to predict in-hospital mortality ...
[Pulmonary vascular interventions: innovating through adaptation and advancing through differentiation].
Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
May 12, 2025
Pulmonary vascular intervention technology, with its minimally invasive and precise advantages, has been a groundbreaking advancement in the treatment of pulmonary vascular diseases. Techniques such as balloon pulmonary angioplasty (BPA), pulmonary a...
Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVES: Adverse event detection from Electronic Medical Records (EMRs) is challenging due to the low incidence of the event, variability in clinical documentation, and the complexity of data formats. Pulmonary embolism as an adverse event (PEAE) ...
A Guide for Implementing an A.I-Driven Initiative in Rural Northern Ontario.
Studies in health technology and informatics
Feb 18, 2025
Diagnosing pulmonary embolism (PE) often requires specialized expertise in interpreting x-rays and radiographic images, resources that are mostly limited in rural settings. This paper explores the development of an electronic health record (EHR) syst...
Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques.
Studies in health technology and informatics
Aug 22, 2024
The intersection of COVID-19 and pulmonary embolism (PE) has posed unprecedented challenges in medical diagnostics. The critical nature of PE and its increased incidence during the pandemic underline the need for improved detection methods. This stud...
Pulmonary Embolism Education: Role of Generative Artificial Intelligence Models.
Missouri medicine
Jan 1, 2024
The growing use of generative artificial intelligence (AI) in the public sphere allows for a greater degree of disseminating information worldwide. For patients, there is a growing body of literature exploring how the generative artificial intelligen...
Interpretable Machine Learning Approach for Predicting 30-Day Mortality of Critical Ill Patients with Pulmonary Embolism and Heart Failure: A Retrospective Study.
Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
Jan 1, 2024
BACKGROUND: Pulmonary embolism (PE) patients combined with heart failure (HF) have been reported to have a high short-term mortality. However, few studies have developed predictive tools of 30-day mortality for these patients in intensive care unit (...
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