大型语言模型在心血管疾病中的应用:系统性审查
José Ferreira Santos1,2, Ricardo Ladeiras-Lopes3,4, Francisca Leite2,5
1Cardiology Department, Setúbal, Hospital da Luz Setúbal, Luz Saúde, Estrada Nacional 10, Km 37, 2900-722 Setúbal, Portugal.
European heart journal. Digital health
|July 24, 2025
概括
大型语言模型 (LLM) 在心血管疾病 (CVD) 患者教育和临床支持方面表现有前途. 虽然对于常见问题通常是安全和准确的,但对于复杂的诊断和治疗应用,需要进一步验证.
科学领域:
- 人工智能在医学中的应用
- 心血管疾病研究研究
- 医疗信息学 医疗信息学
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡原因.
- 大型语言模型 (LLM) 为改善医疗保健中的患者教育和临床决策提供了机会.
研究的目的:
- 系统地审查和评估LLMs在心血管疾病 (CVD) 管理中的应用.
- 探索目前在整个心血管疾病领域实施的LLM,从预防到治疗.
主要方法:
- 系统审查遵循系统审查和元分析 (PRISMA) 准则的首选报告项目.
- 在PubMed进行了全面的文献搜索,以确定有关在CVD中LLM应用的相关研究.
- 优先考虑在心血管疾病护理中的务实和实际的LLM应用.
主要成果:
- 包括35项观察性研究,重点关注LLM在心血管疾病预防中的应用 (54%) 和已确定的心血管疾病 (46%).
- 聊天GPT是最常被评估的LLM (91%的研究).
- 主要使用LLM用于患者教育 (72%) 和临床决策支持 (17%),证明对患者查询的准确和安全响应,尽管偶尔会注意到错误信息.
结论:
- 在提高心血管疾病预防和治疗策略方面,LLM具有显著的潜力.
- 目前的证据支持LLM作为一个有价值的资源来回答患者关于心血管疾病的常见问题.
- 进一步的研究和验证对于将LLM整合到个性化患者护理中至关重要,包括诊断和治疗建议.
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