Systemic diseases, such as cardiovascular and cerebrovascular conditions, pose significant global health challenges due to their high mortality rates. Early identification and intervention in systemic diseases can substantially enhance their prognosis. However, diagnosing systemic diseases often necessitates complex, expensive, and invasive tests, posing challenges in their timely detection. Therefore, simple, cost-effective, and non-invasive methods for the management (such as screening, diagnosis, and monitoring) of systemic diseases are needed to reduce associated comorbidities and mortality rates.

中文翻译：

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基于眼组学的 AI 方法在系统性疾病管理中的变革性应用：系统评价


由于死亡率高，心血管和脑血管疾病等全身性疾病对全球健康构成了重大挑战。全身性疾病的早期识别和干预可以显着提高其预后。然而，诊断全身性疾病通常需要复杂、昂贵和侵入性的检查，这给及时检测带来了挑战。因此，需要简单、经济高效且无创的全身性疾病管理（例如筛查、诊断和监测）方法，以减少相关的合并症和死亡率。