Utilizing LLMs for Lung Cancer Surveillance in EHRs

This presentation explores the application of large language models (LLMs) in lung cancer surveillance, with a focus on enhancing EHR data quality for smoking-related risk assessment. Key topics include addressing inconsistencies in smoking data, employing generative models for longitudinal data analysis, and developing risk model-based strategies for second primary lung cancer (SPLC) surveillance. The discussion emphasizes the integration of LLMs into clinical workflows, alignment with...