Reinforcement learning for individualized lung cancer screening schedules: A nested case-control study.

This study highlights the potential of using an RL-based approach that is both clinically interpretable and performance-robust to develop personalized lung cancer screening schedules. Our findings present opportunities for enhancing the current cancer screening system.