Research project with TU Munich

Risk as­sess­ment of ab­domi­nal aortic aneur­ysm

Simq AAA

The rupture of abdominal aortic aneurysms (AAA) ranks among the 15th leading causes of death. Simulation in combination with Machine Learning can improve the estimation of the rupture risk and thus give the clinician additional guidance for treatment planning.

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How it works

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Simq AAA at a glance

Target: Predictive assessment and classification of abdominal aortic aneurysms with simulation and AI/ML

  • ML & AI combined with simulation for AAA risk assessment
  • Identification and deployment of patient-specific material parameters via a ML-database
  • R&D project with TUM
  • Further joint development of the methods of the TU Munich
  • Methods of Prof. Gee implemented in Simq AAA
  • Comparison of patient-specific rupture statistics with database

Partner

Prof. Dr.-Ing. Michael W. Gee,
Faculty of Mechanical Engineering,
Technische Universität München

Articles & publications

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  • Research Article

Biomechanical rupture risk assessment of abdominal aortic aneurysms using clinical data

PLOS ONE paper

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