6533b851fe1ef96bd12a9868
RESEARCH PRODUCT
Computational modeling of bicuspid aortopathy: Towards personalized risk strategies.
Salvatore PastaGiuseppe Maria RaffaMichele PilatoGiovanni GentileLeonardo D'acquistoFederica CosentinoFrancesco ScardullaValentina AgneseDiego Bellaviasubject
0301 basic medicineProcess (engineering)Computer scienceFinite Element AnalysisHeart Valve DiseasesWearable computerCoronary Artery Disease030204 cardiovascular system & hematologyClinical decision support system03 medical and health sciences0302 clinical medicineSoftwareBicuspid aortic valveBicuspid Aortic Valve DiseaseArtificial IntelligencemedicineHumansClinical careMolecular Biologybusiness.industryHemodynamicsModels Cardiovascularaortic failure bicuspid aortic valvemedicine.diseaseFractional Flow Reserve Myocardial030104 developmental biologyRisk analysis (engineering)Aortic ValvePersonalized medicineCardiology and Cardiovascular Medicinebusinessdescription
This paper describes current advances on the application of in-silico for the understanding of bicuspid aortopathy and future perspectives of this technology on routine clinical care. This includes the impact that artificial intelligence can provide to develop computer-based clinical decision support system and that wearable sensors can offer to remotely monitor high-risk bicuspid aortic valve (BAV) patients. First, we discussed the benefit of computational modeling by providing tangible examples of in-silico software products based on computational fluid-dynamic (CFD) and finite-element method (FEM) that are currently transforming the way we diagnose and treat cardiovascular diseases. Then, we presented recent findings on computational hemodynamic and structural mechanics of BAV to highlight the potentiality of patient-specific metrics (not-based on aortic size) to support the clinical-decision making process of BAV-associated aneurysms. Examples of BAV-related personalized healthcare solutions are illustrated.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-06-01 | Journal of molecular and cellular cardiology |