To address challenges in the digital economy's landscape of digital
intelligence, large language models (LLMs) have been developed. Improvements in
computational power and available resources have significantly advanced LLMs,
allowing their integration into diverse domains for human life. Medical LLMs
are essential application tools with potential across various medical
scenarios. In this paper, we review LLM developments, focusing on the
requirements and applications of medical LLMs. We provide a concise overview of
existing models, aiming to explore advanced research directions and benefit
researchers for future medical applications. We emphasize the advantages of
medical LLMs in applications, as well as the challenges encountered during
their development. Finally, we suggest directions for technical integration to
mitigate challenges and potential research directions for the future of medical
LLMs, aiming to meet the demands of the medical field better.

在这篇论文中，我们回顾了大型语言模型（LLMs）的发展，重点关注医学 LLMs 的需求和应用。我们提供了现有模型的简要概述，旨在探索进一步的研究方向并使其对未来医学应用产生益处。我们强调了医学 LLMs 在应用中的优势，以及其发展过程中遇到的挑战。最后，我们提出了技术整合的方向来减轻挑战，并为医学 LLMs 的未来研究方向提供了建议，旨在更好地满足医学领域的需求。