Deep generative models have recently gained increasing attention in machine learning research with recent breakthroughs, such as Stable Diffusion, DALL-E, and Chat-GPT, among others. Despite significant advancements, the potential of generative AI in the health sector is yet not fully exploited. To address this gap, our workshop serves as a forum for presenting the latest research trends in generative models tailored for health applications. By bringing together a diversified pool of experts, we aim to investigate the methodological requirements and clinical implications of generative AI for health applications, thus shedding light on the challenges that lie ahead. Through this collaborative effort, we aspire to unlock the potential of generative models for groundbreaking advancements in the health sector.