Expert Consensus on Dynamic Adaptive Discharge Assessment of Elderly Patients with Coronary Heart Disease Based on Artificial Intelligence Model
National Cardiology Center
National Clinical Research Center for Cardiovascular Diseases
Chinese Gerontology and Geriatrics Society Committee of Cardiovascular Diseases
Chinese Medical Education,Association of Traditional Chinese and Western Medicine Cardiovascular Professional Committee
Abstract: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.
Keywords:elderly coronary heart diseaseartificial intelligencedischarge assessmentdynamic adaptationexpert consensus
Publication Date:2024-10-16
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:10( 3649-3658 )
