Patient-specific computational simulation of coronary artery bypass grafting.
Wei WuAnastasios Nikolaos PanagopoulosCharu Hasini VasaMohammadali SharzeheeShijia ZhaoSaurabhi SamantUsama M OguzBehram KhanAbdallah NaserKhaled M HarmouchGhassan S KassabAleem SiddiqueYiannis S ChatzizisisPublished in: PloS one (2023)
We presented a comprehensive patient-specific computational platform that can simulate the hemodynamic conditions before and after CABG and faithfully reproduce the hemodynamic effects of bypass grafting on the native coronary artery flow. Further clinical studies are warranted to validate this preliminary data.
Keyphrases
- coronary artery bypass grafting
- coronary artery
- coronary artery disease
- percutaneous coronary intervention
- pulmonary artery
- electronic health record
- high throughput
- big data
- acute coronary syndrome
- machine learning
- virtual reality
- pulmonary arterial hypertension
- deep learning
- breast reconstruction
- artificial intelligence
- coronary artery bypass