在血管外科手术中对自然语言处理 (NLP) 的全面审查
Fabien Lareyre1,2, Bahaa Nasr3,4, Arindam Chaudhuri5
1Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France.
EJVES vascular forum
|October 12, 2023
概括
自然语言处理 (NLP) 在血管外科为通过聊天机器人进行数据分析和患者护理提供了潜力. 然而,需要明确的指导方针来验证这些AI创新在临床使用之前.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 自然语言处理 (NLP) 在医疗保健中越来越多地用于信息提取和开发虚拟助理.
- 应用范围包括识别患者数据和增强临床决策.
研究的目的:
- 在血管外科手术中对NLP应用进行全面的文献审查.
- 确定NLP在这个领域的当前局限性和未来前景.
主要方法:
- 在2023年4月,在MEDLINE数据库上进行了文献搜索.
- 关键词包括"自然语言处理"",聊天机器人"",聊天GPT"和特定的血管疾病,如"大动脉疾病"",动脉疾病"和"外围动脉疾病".
主要成果:
- NLP可以帮助从医疗保健系统中提取患者信息,以改善当前的做法并优化护理.
- 聊天机器人和NLP驱动的工具显示出作为医疗保健专业人员和患者的虚拟助手的潜力.
结论:
- NLP和AI技术可以显著提高患有血管疾病的患者的护理.
- 挑战包括在临床实施之前制定明确的评估和验证指南.
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