Track Chair: Alfonso Limon

This session will address the real-life problem of resource scarcity and expertise gaps associated with building AI solutions and will include: The challenges and opportunities associated with scaling generative AI in healthcare, Real-life experience of building AI solutions, The limitations of this approach, and the ways that a collaborative approach can help establish a scalable framework for the effective deployment and monitoring of generative AI in healthcare, The vision for the future – the development of open-source code for generative AI models, enabling healthcare organizations to readily adopt and implement these models without the burden of extensive development and maintenance.