AIMC Topic: Aortic Aneurysm
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Investigating long-term risk of aortic aneurysm and dissection from fluoroquinolones and the key contributing factors using machine learning methods.
Scientific reports
Apr 16, 2025
The connection between fluoroquinolones and severe heart conditions, such as aortic aneurysm (AA) and aortic dissection (AD), has been acknowledged, but the full extent of long-term risks remains uncertain. Addressing this knowledge deficit, a retros...
Can ChatGPT 4.0 Diagnose Acute Aortic Dissection? Integrating Artificial Intelligence into Medical Diagnostics.
The American journal of cardiology
Jan 16, 2025
Acute aortic dissection (AD) is a critical condition characterized by high mortality and frequent misdiagnoses, primarily due to symptom overlap with other medical pathologies. This study explores the diagnostic utility of ChatGPT 4.0, an artificial ...
Enhancing Aortic Aneurysm Surveillance: Transformer Natural Language Processing for Flagging and Measuring in Radiology Reports.
Annals of vascular surgery
Oct 16, 2024
BACKGROUND: Incidental findings of aortic aneurysms (AAs) often go unreported, and established patients are frequently lost to follow-up. Natural language processing (NLP) offers a promising solution to address these issues. While rule-based NLP meth...
A machine learning algorithm for creating isotropic 3D aortic segmentations from routine cardiac MR localizers.
Magnetic resonance imaging
Oct 12, 2024
BACKGROUND: The identification and measurement of aortic aneurysms is an important clinical problem. While specialized high-resolution 3D CMR sequences allow detailed aortic assessment, they are time-consuming which limits their use in screening rout...
Machine Learning Model for Predicting Risk Factors of Prolonged Length of Hospital Stay in Patients with Aortic Dissection: a Retrospective Clinical Study.
Journal of cardiovascular translational research
Oct 10, 2024
The length of hospital stay (LOS) is crucial for assessing medical service quality. This study aimed to develop machine learning models for predicting risk factors of prolonged LOS in patients with aortic dissection (AD). The data of 516 AD patients ...
Enhanced machine learning models for predicting one-year mortality in individuals suffering from type A aortic dissection.
The Journal of thoracic and cardiovascular surgery
Sep 18, 2024
OBJECTIVE: The study objective was to develop and validate an interpretable machine learning model to predict 1-year mortality in patients with type A aortic dissection, improving risk classification and aiding clinical decision-making.
Artificial Intelligence Based Methods to Enhance Analysis of Non-Contrast Computed Tomography in Patients with Aortic Aneurysm.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Jun 25, 2024
Volumetric analysis of acute uncomplicated type B aortic dissection using an automated deep learning aortic zone segmentation model.
Journal of vascular surgery
Jun 6, 2024
BACKGROUND: Machine learning techniques have shown excellent performance in three-dimensional medical image analysis, but have not been applied to acute uncomplicated type B aortic dissection (auTBAD) using Society for Vascular Surgery (SVS) and Soci...
Aortic Dissection
Aortic Aneurysm, Thoracic
Computed Tomography Angiography
Aortic Aneurysm
Female
Aortography
Reproducibility of Results
Aged
Predictive Value of Tests
Male
Acute Disease
Middle Aged
Radiographic Image Interpretation, Computer-Assisted
Humans
Disease Progression
Automation
Retrospective Studies
Deep Learning
Time Factors
Imaging, Three-Dimensional
Artificial Intelligence With Deep Learning Enables Assessment of Aortic Aneurysm Diameter and Volume Through Different Computed Tomography Phases.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Apr 16, 2024
Machine Learning and Omics Analysis in Aortic Aneurysm.
Angiology
Oct 10, 2023
Aortic aneurysm is a life-threatening condition and mechanisms underlying its formation and progression are still incompletely understood. Omics approach has brought new insights to identify a broad spectrum of biomarkers and better understand cellul...
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