Integrated Implementation Strategies to Promote the Use of AI-Assisted Diagnostic Software for Lung Nodule Screening in China: Process Evaluation Based on the RE-AIM Framework

This study demonstrated the feasibility and potential value of deploying AI-assisted diagnostic software in a secondary hospital when supported by a tailored referral mechanism and interhospital data exchange systems. The findings highlighted the critical role of referral adherence, information infrastructure, and feedback mechanisms in optimizing the clinical utility of AI technologies. Further multicenter research is warranted to assess the generalizability, cost-effectiveness, long-term sustainability, and scalability of the implementation strategies across diverse health care settings.