377P Risk prediction for non-small cell lung cancer using longitudinal EMR data: A machine learning model in a national Israeli cohort
S. Gazit·Melissa L. Santorelli·Hala Zreikat·S. Sharman Moser·B.E. Pöllinger·Shira Yaari·N. Siegelmann-Danieli·Ashwini Arunachalam
Background: To assess the performance of an in-house developed AI Large Language Model (LLM) in assisting lung cancer patient management and compare its efficiency and accuracy against manual clinical workflows. Methods:We conducted a retrospective study on 849 consecutive lung cancer patient MDT records form Feb. 2025 to Dec. 2025.Our proprietary AI "Lung Cancer LLM" performed several tasks: rapid document scanning, structured data extraction, treatment suggestion generation, recurrence risk pr