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Related Concept Videos

Aneurysm III: Interprofessional Care01:26

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Aneurysm management involves either conservative medical therapy or surgical intervention, depending on the size and symptoms of the aneurysm. Conservative management is generally reserved for smaller, asymptomatic aneurysms, while larger or symptomatic aneurysms often necessitate surgical repair.Conservative Medical TherapyFor small, asymptomatic aneurysms, particularly abdominal aortic aneurysms (AAA) less than 5.5 centimeters in diameter, conservative medical therapy is recommended. This...
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Thoracic, aortic arch and abdominal aneurysms are significant vascular conditions that can present with various clinical manifestations and lead to serious complications. Understanding these manifestations and the appropriate diagnostic studies is essential for effective management and treatment.Thoracic Aortic AneurysmsThoracic aortic aneurysms often remain asymptomatic until they reach a size that impinges on adjacent structures. They typically cause deep, diffuse chest pain that radiates to...
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An aortic aneurysm is a localized outpouching or dilation at a weak point in the artery wall. It may involve different parts of the aorta, such as the abdominal aorta, aortic arch, or thoracic aorta.Etiological factorsSeveral disorders are associated with aortic aneurysms.Congenital causes, such as primary connective tissue disorders like Marfan syndrome, impact the integrity and strength of connective tissues, notably affecting the aorta. Marfan syndrome is a genetic disorder that specifically...
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Artificial Intelligence-Based Predictive Modeling for Aortic Aneurysms.

Ghulam Husain Abbas1,2, Edmon Khouri3, Sjaak Pouwels4,5

  • 1Faculty of Medicine, Ala-Too International University, Bishkek, KGZ.

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|March 31, 2025
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Summary

Artificial intelligence (AI) and machine learning (ML) offer advanced predictive modeling for abdominal aortic aneurysms (AAAs). These technologies promise improved patient-specific risk assessment and personalized cardiovascular care.

Keywords:
abdominal aortic aneurysmsai and machine learningai in cardiologyaortic aneurysmaortic diseasesartificial intelligencecardiologycardiovascular medicinemachine learningpredictive modeling

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Area of Science:

  • Cardiovascular Medicine
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Abdominal aortic aneurysms (AAAs) pose significant rupture and mortality risks.
  • Current AAA risk assessment using clinical and imaging factors lacks patient-specific precision.
  • Artificial intelligence (AI) and machine learning (ML) are transforming medical decision-making.

Purpose of the Study:

  • To review the current state and future of AI in predictive modeling for AAAs.
  • To highlight ML approaches for AAA risk assessment, screening, and prognosis.
  • To discuss integrating diverse data (clinical, imaging, genomic) for enhanced AI predictiveness.

Main Methods:

  • Review of AI/ML strategies including supervised/unsupervised learning and deep learning.
  • Exploration of data integration techniques for improved AI model performance.
  • Discussion of challenges in clinical translation of AI-based AAA models.

Main Results:

  • AI/ML algorithms can create personalized models for AAA risk assessment.
  • Integration of multi-modal data (clinical, imaging, genomic) enhances predictive accuracy.
  • Various AI strategies show potential for improving AAA management.

Conclusions:

  • AI and ML offer significant opportunities to enhance AAA risk assessment and management.
  • Overcoming challenges in data quality, explainability, and ethics is crucial for clinical adoption.
  • AI/ML can drive a paradigm shift towards precision medicine in cardiovascular care.