Introduction: Intracranial aneurysms (IAs) are critical vascular defects potentially leading to subarachnoid hemorrhage. A Bayesian framework assists clinicians in assessing IA risks by evaluating multiple factors, including sex, due to its higher prevalence in women. Methods: This study adopted the Bayesian theorem to quantify IA prevalence and the incidence of subsequent hemorrhage, examining sex as a pivotal risk factor for IA rupture stratification. Results: The Bayesian analysis revealed a greater incidence of IAs among women yet indicated that sex does not have a significant impact on the rupture risk in diagnosed patients. This finding suggests the necessity of considering other cofactors in risk evaluation. Conclusions: Bayesian approaches provide clinicians with refined tools for IA risk assessment, emphasizing the complex interplay of various risk factors beyond sex. Acknowledging the limited influence of sex on rupture probability is crucial in guiding IA management. Continuous research is warranted to advance Bayesian methods, improving their clinical applicability and enhancing patient treatment outcomes.