AIMC Topic: Aortic Aneurysm, Abdominal

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Identification and validation of hub genes related to neutrophil extracellular traps-mediated cell damage and immune recruitment during abdominal aortic aneurysm.

Scientific reports Aug 7, 2025
Previous research has shown that the formation of Neutrophil Extracellular Traps (NETs), mediated by neutrophils, leads to an increase in inflammatory cell response and cellular tissue damage during Abdominal Aortic Aneurysm (AAA). Building on this f...
Humans Computational Biology Extracellular Traps Neutrophils Aortic Aneurysm, Abdominal Gene Expression Profiling Transcriptome Gene Regulatory Networks
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Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records.

Scientific reports Jul 21, 2025
Patient identification for national registries often relies upon clinician recognition of cases or retrospective searches using potentially inaccurate clinical codes, leading to incomplete data capture and inefficiencies. Natural Language Processing ...
Aortic Aneurysm, Abdominal Natural Language Processing Registries Female Male ROC Curve Humans Electronic Health Records
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Imaging analysis using Artificial Intelligence to predict outcomes after endovascular aortic aneurysm repair: protocol for a retrospective cohort study.

BMJ open Jul 16, 2025
INTRODUCTION: Endovascular aortic aneurysm repair (EVAR) requires long-term surveillance to detect and treat postoperative complications. However, prediction models to optimise follow-up strategies are still lacking. The primary objective of this stu...
Aortic Aneurysm, Abdominal Endovascular Procedures Computed Tomography Angiography Aortic Aneurysm Treatment Outcome Observational Studies as Topic Multicenter Studies as Topic Artificial Intelligence Retrospective Studies Postoperative Complications Humans
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Predicting outcomes following open abdominal aortic aneurysm repair using machine learning.

Scientific reports Apr 24, 2025
Patients undergoing open surgical repair of abdominal aortic aneurysm (AAA) have a high risk of post-operative complications. However, there are no widely used tools to predict surgical risk in this population. We used machine learning (ML) technique...
Humans Machine Learning Algorithms Male Postoperative Complications Middle Aged Treatment Outcome Female Risk Assessment Aortic Aneurysm, Abdominal Risk Factors Aged
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Predicting Long-Term Survival after Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis.

Vascular and endovascular surgery Mar 24, 2025
ObjectiveEndovascular aneurysm repair (EVAR) has become a preferred method for treating abdominal aortic aneurysms (AAA) due to its minimally invasive approach. However, identifying factors that influence long-term patient outcomes is crucial for imp...
Retrospective Studies Clinical Decision-Making Female Humans Machine Learning Decision Support Techniques Endovascular Procedures Endovascular Aneurysm Repair Time Factors Treatment Outcome Decision Trees Predictive Value of Tests Male Aortic Aneurysm, Abdominal Risk Factors Blood Vessel Prosthesis Implantation Middle Aged Aged Risk Assessment Aged, 80 and over
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Identification and Experimental Validation of NETosis-Mediated Abdominal Aortic Aneurysm Gene Signature Using Multi-omics, Machine Learning, and Mendelian Randomization.

Journal of chemical information and modeling Mar 19, 2025
Abdominal aortic aneurysm (AAA) is a life-threatening disorder with limited therapeutic options. Neutrophil extracellular traps (NETs) are formed by a process known as "NETosis" that has been implicated in AAA pathogenesis, yet the roles and prognost...
Aortic Aneurysm, Abdominal Humans Mendelian Randomization Analysis Machine Learning Multiomics
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A computed tomography angiography-based radiomics model for prognostic prediction of endovascular abdominal aortic repair.

International journal of cardiology Mar 14, 2025
OBJECTIVE: This study aims to develop a radiomics machine learning (ML) model that uses preoperative computed tomography angiography (CTA) data to predict the prognosis of endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA) patien...
Retrospective Studies Female Aged Aged, 80 and over Radiomics Male Humans Machine Learning Prognosis Endovascular Procedures Middle Aged Computed Tomography Angiography Predictive Value of Tests Aortic Aneurysm, Abdominal
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Evaluating the role of AI chatbots in patient education for abdominal aortic aneurysms: a comparison of ChatGPT and conventional resources.

ANZ journal of surgery Mar 5, 2025
BACKGROUNDS: Abdominal aortic aneurysms (AAA) carry significant risks, yet patient understanding is often limited, with online resources typically low quality. ChatGPT, an artificial intelligence (AI) chatbot, presents a new frontier in patient educa...
Patient Education as Topic Artificial Intelligence Internet Female Comprehension Male Generative Artificial Intelligence Humans Australia Aortic Aneurysm, Abdominal
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Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD.

Medical & biological engineering & computing Feb 17, 2025
Aortic aneurysms pose a significant risk of rupture. Previous research has shown that areas exposed to low wall shear stress (WSS) are more prone to rupture. Therefore, precise WSS determination on the aneurysm is crucial for rupture risk assessment....
Hemodynamics Deep Learning Aortic Aneurysm, Abdominal Models, Cardiovascular Stress, Mechanical Hydrodynamics Humans
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Identifying abdominal aortic aneurysm size and presence using Natural Language Processing of radiology reports: a systematic review and meta-analysis.

Abdominal radiology (New York) Jan 30, 2025
BACKGROUND AND AIM: Prior investigations of the natural history of abdominal aortic aneurysms (AAAs) have been constrained by small sample sizes or uneven assessments of aggregated data. Natural language processing (NLP) can significantly enhance the...
Aortic Aneurysm, Abdominal Natural Language Processing Humans
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