杨靖

• 1:上海市徐汇区中心医院复旦大学附属中山医院徐汇医院心内科

摘要(Abstract)：

心血管病是全球疾病负担的主要原因之一，过去三十年间心血管病的患病率和死亡率均显著上升。随着算力和算法的不断发展，特别是深度学习和通用医学基础模型的出现，人工智能展现出在处理多模态数据方面的强大能力，尤其适用于医疗场景。人工智能正逐步嵌入日常医疗流程，显著提高了疾病诊疗的标准化和效率。基础模型目前主要有大语言模型和多模态模型，可通过大规模数据集的预训练，灵活应对不同医疗需求，从结构化数据的生成、风险评估、诊疗辅助决策到临床专业文本生成等多方面展现出引人注目的应用价值。在临床工作中，基础模型的应用不仅可以减轻医师处理文档的工作负担，还提高了与患者沟通的效率，提升了医疗服务供给的效率和质量。此外，大语言模型利用其自然语言处理的能力和对医学知识与健康数据理解的优势，能进一步加强心血管病患者的院前筛查和院后长期管理。对于临床试验，基础模型通过嵌入文本、影像和实验室数据的处理能力，实现了对潜在受试者的高效筛选，提高了临床试验的效率和准确性。本文还探讨了基础模型在心血管病领域的未来发展和优化路径，强调了其在实现个性化医疗和精准医疗方面的重要性。

关键词(KeyWords)： 人工智能;心血管病;基础模型;大语言模型

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目（2021YFC2500500）

作者(Author): 杨靖

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