大语言模型基本医学能力及其在脑血管病等临床应用上的研究进展 Research Progress on the Basic Medical Abilities of Large Language Models and Their Clinical Applications in Cerebrovascular Diseases

Abstract

近年来，大语言模型在通用领域涌现出了惊人的智慧能力，并快速在各行业得到了广泛而有效的应用。然而，临床医学领域由于专业性强、场景复杂，大语言模型能否提供准确、可靠、高效的医疗服务，目前还没有形成一致性的结论。本研究从以下几个方面对大语言模型在临床医学中的研究进展进行综述：医学知识和基本医学能力评测情况；临床场景特定能力方面的研究进展；脑血管病等临床疾病及相关临床应用方面的研究进展。 Abstract: In recent years, large language models have demonstrated remarkable intelligence capabilities across various general domains and have been widely and effectively applied in multiple industries. However, due to the high level of specialization and complexity of scenarios in clinical medicine, there is no consensus on whether large language models can provide accurate, reliable, and efficient medical services. This study reviewed the progress of large language models in clinical medicine from the following aspects: evaluation of medical knowledge and basic medical capabilities; research progress on specific capability requirements in clinical scenarios; research progress on clinical diseases such as cerebrovascular diseases and related clinical applications.

Keywords

• 大语言模型
• 医疗大语言模型
• 智慧医疗
• large language model
• medical large language model
• intelligent healthcare