The field of healthcare is witnessing a significant shift towards AI-driven solutions, with a focus on improving patient outcomes and streamlining clinical workflows. Researchers are exploring the potential of multi-agent AI frameworks to support medical professionals, particularly in under-resourced settings. Additionally, there is a growing emphasis on integrating computational models with clinical practice to enhance neurorehabilitation and personalized healthcare. Novel approaches to simulation model simplification and predictive analytics are also being developed to optimize healthcare operations. Furthermore, the importance of social determinants of health (SDoH) data is being recognized, with efforts to create comprehensive databases and linkage tools to facilitate informed healthcare decisions. Noteworthy papers include: The Application of MATEC framework, which demonstrates the potential of AI agent teams in supporting sepsis care. Unlocking Health Insights with SDoH Data, which presents a comprehensive open-access database and SDoH-EHR linkage tool to enhance data usability and integration.