AIMC Topic: Pulmonary Embolism
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Prediction of short-term adverse clinical outcomes of acute pulmonary embolism using conventional machine learning and deep Learning based on CTPA images.
Journal of thrombosis and thrombolysis
Sep 28, 2024
To explore the predictive value of traditional machine learning (ML) and deep learning (DL) algorithms based on computed tomography pulmonary angiography (CTPA) images for short-term adverse outcomes in patients with acute pulmonary embolism (APE). T...
An exploration into CTEPH medications: Combining natural language processing, embedding learning, in vitro models, and real-world evidence for drug repurposing.
PLoS computational biology
Sep 12, 2024
BACKGROUND: In the modern era, the growth of scientific literature presents a daunting challenge for researchers to keep informed of advancements across multiple disciplines.
Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm - a single centre retrospective study.
The international journal of cardiovascular imaging
Aug 28, 2024
To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with pulmonary artery (PA) CT angiography (CTA). In a monocentric study, we re...
Algorithms
Retrospective Studies
Female
Reproducibility of Results
Humans
Middle Aged
Deep Learning
Predictive Value of Tests
Radiographic Image Interpretation, Computer-Assisted
Aged
Aged, 80 and over
Adult
Male
Pulmonary Artery
Incidental Findings
Feasibility Studies
Pulmonary Embolism
Computed Tomography Angiography
Artificial intelligence-based pulmonary embolism classification: Development and validation using real-world data.
PloS one
Aug 21, 2024
This paper presents an artificial intelligence-based classification model for the detection of pulmonary embolism in computed tomography angiography. The proposed model, developed from public data and validated on a large dataset from a tertiary hosp...
Single-center outcomes of artificial intelligence in management of pulmonary embolism and pulmonary embolism response team activation.
Journal of investigative medicine : the official publication of the American Federation for Clinical Research
Jul 31, 2024
Multidisciplinary pulmonary embolism response teams (PERTs) have shown that timely triage expedites treatment. The use of artificial intelligence (AI) may help improve pulmonary embolism (PE) management with early CT pulmonary angiogram (CTPA) screen...
Performance and clinical utility of an artificial intelligence-enabled tool for pulmonary embolism detection.
Clinical imaging
Jul 30, 2024
PURPOSE: Diagnosing pulmonary embolism (PE) is still challenging due to other conditions that can mimic its appearance, leading to incomplete or delayed management and several inter-observer variabilities. This study evaluated the performance and cli...
Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study.
Journal of medical Internet research
Jul 30, 2024
BACKGROUND: Under- or late identification of pulmonary embolism (PE)-a thrombosis of 1 or more pulmonary arteries that seriously threatens patients' lives-is a major challenge confronting modern medicine.
At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.
Scientific reports
Jul 16, 2024
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with me...
Applications of artificial intelligence in computed tomography imaging for phenotyping pulmonary hypertension.
Current opinion in pulmonary medicine
Jul 9, 2024
PURPOSE OF REVIEW: Pulmonary hypertension is a heterogeneous condition with significant morbidity and mortality. Computer tomography (CT) plays a central role in determining the phenotype of pulmonary hypertension, informing treatment strategies. Man...
Editorial Comment: Enhancing Radiologist Sensitivity for Incidental Pulmonary Embolism Detection With Artificial Intelligence-A Prospective Validation Study.
AJR. American journal of roentgenology
Jul 3, 2024
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