  In this review, we explore the potential applications of Artificial General
Intelligence (AGI) models in healthcare, focusing on foundational Large
Language Models (LLMs), Large Vision Models, and Large Multimodal Models. We
emphasize the importance of integrating clinical expertise, domain knowledge,
and multimodal capabilities into AGI models. In addition, we lay out key
roadmaps that guide the development and deployment of healthcare AGI models.
Throughout the review, we provide critical perspectives on the potential
challenges and pitfalls associated with deploying large-scale AGI models in the
medical field. This comprehensive review aims to offer insights into the future
implications of AGI in medical imaging, healthcare and beyond.
