心血管专科护理中的生成人工智能:一个范围审查
Xinglin Zheng1,2, Huina Zou1, Linjing Wu1
1Xiamen Cardiovascular Hospital, Xiamen University, Xiamen, China.
BMC nursing
|July 19, 2025
概括
生成型人工智能 (AI) 在心血管护理中显示出有希望的临床决策支持和患者管理. 需要进一步的研究来解决人工智能驱动的健康教育和咨询方面的局限性.
科学领域:
- 心血管护理心血管护理
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 生成型人工智能 (AI) 研究正在扩大,但在专业护理领域的应用,特别是心血管护理,仍未得到充分探索.
- 现有的研究主要集中在一般护理场景上,缺乏对心血管专科护理中的AI的系统概述.
研究的目的:
- 审查关于在专业心血管护理中应用生成人工智能的现有文献.
- 通过综合当前的发现和识别差距,为未来的研究和实践提供信息.
主要方法:
- 根据JBI的指导方针和PRISMA-ScR.的指导方针进行全面的范围审查.
- 搜索了多个数据库 (PubMed,Embase,科学网等) 对于英语和中文研究,截至2025年3月29日.
- 标题,摘要和全文由两个独立评估员严格选.
主要成果:
- 包括19项研究,使用文本生成模型,多式模式模型,时间预测模型和聊天机器人.
- 关键应用包括临床决策支持,患者健康管理和护理教育/咨询.
- 人工智能在减少工作量和实现精确干预方面表现出有效性,但在健康教育方面面临挑战 (例如,逻辑差距,质量差,缺乏人文关怀).
结论:
- 生成型人工智能为心血管专科护理的智能转型提供了重要的技术支持,特别是在决策支持和患者管理方面.
- 解决人工智能应用目前的局限性对于更深入地融入心血管护理至关重要.
- 未来的研究应该优先考虑为这个领域开发专门的多式联络人工智能模型.
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