Comparison of existing aneurysm models and their path forward

The two most important aneurysm types are cerebral aneurysms (CA) and abdominal aortic (AAA), accounting together for over 80\% of all fatal incidences. To minimise related deaths, clinicians require various tools to accurately estimate its rupture risk. For both types, the current state-of-the-art evaluate risk identified evaluated in terms clinical applicability. We perform a comprehensive literature review, using Web Science database. Identified records (3127) clustered by modelling approach location meta-analysis quantify scientific relevance extract patterns further assessed according PRISMA guidelines (179 full text screens). Beside general differences similarities CA AAA, we identify systematically four major approaches on risk: finite element analysis computational fluid dynamics as deterministic machine learning assessment-tools dimensionless parameters stochastic approaches. latter score highest evaluation their potential applications prediction, due readiness level user friendliness. Deterministic less likely be applied environment because high model complexity. Because consider underlying mechanism rupture, they have improved capability account unusual patient-specific characteristics, compared show that an increased interdisciplinary exchange between specialists can boost comprehension this disease design environment. By combining models, advantages improve accessibility prediction quality