Cost-effectiveness of chest radiography using artificial intelligence for lung cancer screening in South Korea.

ABSTRACT: Artificial intelligence (AI) shows promise in improving the accuracy and efficiency of lung cancer screening, but its economic value remains uncertain. We developed a decision-analytic model combining a decision tree and Markov model to evaluate five screening strategies in South Korea: no screening, chest X-ray (CXR), AI-assisted CXR, low-dose computed tomography (LDCT), and AI-assisted LDCT. We simulated hypothetical cohorts of 10,000 individuals, stratified by age group and smoking status to reflect the Korean population distribution, and projected their lifetime costs and quality-adjusted life years (QALYs). Analyses applied a 4.5% discount rate and a willingness-to-pay (WTP) threshold of $32,409.9 per QALY. AI-assisted CXR produced incremental cost-effectiveness ratio (ICER) of $8679-

SUBMITTER: Kim K 

PROVIDER: S-EPMC12753820 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature