The field of healthcare is witnessing a significant shift towards AI-driven solutions, with a focus on personalized care and accessibility. Recent developments have seen the integration of advanced machine learning models, such as Graph Attention Networks and Large Language Models, to provide context-aware recommendations and explanations. These systems have shown promise in delivering accurate and secure healthcare recommendations, empowering users, and alleviating burdens on healthcare systems. Noteworthy papers include:

• An AI-powered public health automated kiosk system that provides personalized Over-the-Counter medication recommendations, achieving a Precision-Recall AUC of 0.74.
• A system that leverages conversational AI agents to enhance counterfactual explanations, offering clear and actionable recommendations for non-expert users.
• An interactive system that combines Knowledge Graphs and Large Language Models to provide personalized dietary guidance, reducing interaction effort and cognitive load for users.