Reinforcement learning is pushing the boundaries of AI in healthcare, enabling systems that don’t just predict outcomes but actively learn to optimize decisions over time. This panel brings together experts in AI, clinical care, and healthcare operations to explore how RL can improve treatment pathways, personalize interventions, and enhance operational efficiency. Discussions will address the challenges of deploying adaptive AI safely, the ethical and regulatory considerations, and real-world examples of RL driving measurable impact. Attendees will gain insight into the next frontier of AI—where data meets continuous learning to transform healthcare delivery.