[Current Status of Multidisciplinary Team Consultation for Lung Cancer and Prospects under the Empowerment of Medical Large Models].

Authors

Yingxin Fu, Li Shan, Tingting Yu

Published in

Zhongguo fei ai za zhi = Chinese journal of lung cancer. Volume 29. Issue 5. Pages 376-381. May 20, 2026.

Abstract

Lung cancer ranks among malignant neoplasms with the highest incidence and mortality, and its diagnosis and treatment are complicated, requiring multidisciplinary participation. Multidisciplinary team (MDT) consultation is the core model for modern lung cancer management. By pooling the expertise of specialists from diverse disciplines, MDT develops optimal individualized treatment regimens for patients and markedly improves diagnostic and therapeutic quality as well as patient prognosis. This article systematically summarizes the organizational framework, standardized procedures and clinical value of lung cancer MDT, alongside key problems in its popularization including obstacles in data integration, inconsistent decision-making efficiency and imbalanced resource allocation. It elaborates on the innovative effect of new technologies represented by artificial intelligence large language models on conventional MDT modes, and analyzes their application value in high-efficiency integration of multimodal medical data, real-time evidence-based decision-making support, optimization of consultation procedures and resources, as well as precise individualized treatment, so as to furnish theoretical basis and development ideas for establishing a new-generation intelligent, efficient and precise lung cancer MDT platform.
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PMID:
42452866
Bibliographic data and abstract were imported from PubMed on 15 Jul 2026.

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