基于人工智能模型的老年冠心病动态自适应出院评估专家共识

Expert Consensus on Dynamic Adaptive Discharge Assessment of Elderly Patients with Coronary Heart Disease Based on Artificial Intelligence Model

我国作为人口大国,心血管疾病呈现高发态势,老年慢性病管理更是面临巨大挑战,老年冠心病是最常见的老年慢性心血管疾病之一,具有高发病率、高死亡率及高致残率的特点。针对老年冠心病的特点,各地医疗机构及科研院所不断研究出适用于老年冠心病群体的基于人工智能的出院评估系统及出院管理策略。本共识目的在于整合最新研究进展及基于人工智能的老年冠心病动态自适应出院评估体系。从而指导临床医生运用人工智能技术进行老年冠心病出院评估及高效的疾病管理。

As a populous country,China faces a high prevalence of cardiovascular diseases,particularly among the elderly with chronic conditions,presenting significant challenges.Among these,elderly coronary heart disease(CHD)is one of the most common chronic cardiovascular diseases,characterized by high incidence,mortality,and disability rates.In response to the characteristics of elderly CHD,medical institutions and research institutes nationwide are continuously developing artificial intelligence(AI)-based discharge assessment systems and discharge management strategies tailored for this demographic.This consensus aims to integrate the latest research advancements and AI-based dynamic adaptive discharge assessment systems for elderly CHD.Its goal is to guide clinical practitioners in using AI technology for efficient discharge assessment and disease management of elderly CHD patients.