大模型正推动医疗诊断、治疗和药物研发的智能化变革。
Applications of Large Models in Medicine
- 融合多模态大模型与医学知识图谱，提升疾病预测与药物发现能力。
- 视觉语言模型显著提高医学影像分析与解剖建模精度。
- 适合医疗AI研究者及智能诊疗系统开发者参考。
本文探讨了大规模模型在医疗领域的进展与应用，重点聚焦医学大模型（MedLMs）。这些模型涵盖大语言模型（LLMs）、视觉模型、3D大模型和多模态模型，正在通过增强疾病预测、辅助诊断、个性化治疗方案制定和药物发现，重塑医疗健康体系。医学知识图谱中引入图神经网络，凸显了大图模型（LGMs）在解析复杂生物医学关系方面的潜力。视觉-语言模型（VLMs）与3D大模型在医学图像分析、解剖建模及假肢设计中展现出变革性作用。尽管面临挑战，这些技术已确立新标准，提升诊断准确性，推动个性化医疗发展。本文旨在全面梳理大模型在医学中的现状与未来方向，强调其在全球健康进步中的关键意义。
原文摘要 · Abstract (English)
This paper explores the advancements and applications of large-scale models in the medical field, with a particular focus on Medical Large Models (MedLMs). These models, encompassing Large Language Models (LLMs), Vision Models, 3D Large Models, and Multimodal Models, are revolutionizing healthcare by enhancing disease prediction, diagnostic assistance, personalized treatment planning, and drug discovery. The integration of graph neural networks in medical knowledge graphs and drug discovery highlights the potential of Large Graph Models (LGMs) in understanding complex biomedical relationships. The study also emphasizes the transformative role of Vision-Language Models (VLMs) and 3D Large Models in medical image analysis, anatomical modeling, and prosthetic design. Despite the challenges, these technologies are setting new benchmarks in medical innovation, improving diagnostic accuracy, and paving the way for personalized healthcare solutions. This paper aims to provide a comprehensive overview of the current state and future directions of large models in medicine, underscoring their significance in advancing global health.
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