结核与肺部疾病杂志2026，Vol.7Issue(4)：434-438,5.DOI:10.19983/j.issn.2096-8493.20260164
疑难肺病远程多学科联合会诊体系构建与人工智能决策系统演进
Construction of a virtual multidisciplinary diagnosis and treatment pattern for complex pulmonary diseases and the evolution of artificial intelligence decision support systems
甄乐 1路希维1
作者信息
- 1. 大连市公共卫生临床中心,大连 116033
- 折叠
摘要
Abstract
Virtual multidisciplinary diagnosis and treatment pattern(vMDT)integrates multidisciplinary team consultation with telemedicine,enabling cross-regional and cross-disciplinary expert collaboration online to provide comprehensive diagnostic and treatment plans for patients with complex pulmonary diseases.This approach plays a significant role in enhancing the diagnostic and therapeutic capabilities of primary healthcare institutions.This paper elaborates on the information technology architecture of vMDT and the organizational models of remote MDT consultations,while also presenting a prospective outlook on developing an AI-assisted clinical decision support system based on a case repository of difficult pulmonary diseases.Thereby,it proposes a constructive new pathway for addressing the challenges in diagnosing and managing complex pulmonary conditions.关键词
多学科联合会诊/远程会诊/肺疾病/人工智能Key words
Multi-disciplinary team/Remote consultation/Lung diseases/Artificial intelligence分类
医药卫生引用本文复制引用
甄乐,路希维..疑难肺病远程多学科联合会诊体系构建与人工智能决策系统演进[J].结核与肺部疾病杂志,2026,7(4):434-438,5.
