arxiv:2306.05480

Artificial General Intelligence for Medical Imaging

Published on Jun 8, 2023

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Abstract

AGI models, including LLMs, Large Vision Models, and Large Multimodal Models, have significant potential in healthcare but face challenges in integration and deployment.

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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.

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