ArticleApplications in engineering science2022
Artificial intelligence framework to predict wall stress in abdominal aortic aneurysm.
Article in Applications in engineering science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Computer vision applications in vascular surgery: a systematic review and critical appraisal.NPJ digital medicine · 2026Article
- An Integrated Framework for Automated Image Segmentation and Personalized Wall Stress Estimation of Abdominal Aortic Aneurysms.Bioengineering (Basel, Switzerland) · 2026Article
- Towards Personalised Assessment of Abdominal Aortic Aneurysm Structural Integrity.International journal for numerical methods in biomedical engineering · 2026Article
- Optimizing predictive performance without sacrificing explainability: Comparing logistic regression and ensemble decision trees for abdominal aortic aneurysm repair outcomes.JVS-vascular insights · 2026Article
- Automatic Segmentation of Intraluminal Thrombus in Abdominal Aortic Aneurysms Based on CT Images: A Comprehensive Review of Deep Learning-Based Methods.Journal of clinical medicine · 2025Review
- Sex-specific machine learning classification models improve outcome prediction for abdominal aortic aneurysms.Biology of sex differences · 2025Article
- Artificial intelligence-based machine learning protocols enable quicker assessment of aortic biomechanics: A case study.Journal of vascular surgery cases and innovative techniques · 2025Article
- Clinical Applications of Artificial Intelligence in Vascular Surgery.Vascular specialist international · 2025Review
- Modeling Techniques and Boundary Conditions in Abdominal Aortic Aneurysm Analysis: Latest Developments in Simulation and Integration of Machine Learning and Data-Driven Approaches.Bioengineering (Basel, Switzerland) · 2025Review
- Augmented reality visualization of biomechanical wall stresses on abdominal aortic aneurysms using artificial intelligence.Science talks · 2025Article
- Automatic Explainable Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography.IEEE access : practical innovations, open solutions · 2025Article
- New Trends of Personalized Medicine in the Management of Abdominal Aortic Aneurysm: A Review.Journal of personalized medicine · 2024Review
- An artificial intelligence based abdominal aortic aneurysm prognosis classifier to predict patient outcomes.Scientific reports · 2024Article
- A two-scale numerical study on the mechanobiology of abdominal aortic aneurysms.Journal of the Royal Society, Interface · 2023Article
- An Objective and Repeatable Sac Isolation Technique for Comparing Biomechanical Metrics in Abdominal Aortic Aneurysms.Bioengineering (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Abdominal aortic aneurysms (AAA) have been rigorously investigated to understand when their risk of rupture - which is the 13
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.