biostudies-literatureUnknown27Zhong R<h4>Background</h4>In the era of data and intelligence, artificial intelligence has been widely applied in the medical field. As the most cutting-edge technology, the large language model (LLM) has gained popularity due to its extraordinary ability to handle complex tasks and interactive features.<h4>Objective</h4>This study aimed to systematically review current applications of LLMs in lung cancer (LC) care and evaluate their potential across the full-cycle management spectrum.<h4>Methods</h4>Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we conducted a comprehensive literature search across 6 databases up to January 1, 2025. Studies were included if they satisfied the following criteria: (1) journal articles, conference papers, and preprJournal of medical Internet researche74177https://www.ebi.ac.uk/biostudies/studies/S-EPMC12483341biostudies-literatureLarge Language Models in Lung Cancer: Systematic Review.PMC12483341Zhang WLi ZZhong RGao LHu KChen SSu YLiu DGao TfalseLarge Language Models in Lung Cancer: Systematic Review.<h4>Background</h4>In the era of data and intelligence, artificial intelligence has been widely applied in the medical field. As the most cutting-edge technology, the large language model (LLM) has gained popularity due to its extraordinary ability to handle complex tasks and interactive features.<h4>Objective</h4>This study aimed to systematically review current applications of LLMs in lung cancer (LC) care and evaluate their potential across the full-cycle management spectrum.<h4>Methods</h4>Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we conducted a comprehensive literature search across 6 databases up to January 1, 2025. Studies were included if they satisfied the following criteria: (1) journal articles, conference papers, and prepr2025-01-01T00:00:00Z2025 Sep2026-06-04T00:03:38.427Z2026-05-03T03:11:38.113ZS-EPMC124833414102698010.2196/74177