用自然语言处理和聊天机器人技术彻底改变放射学:关于当前趋势和未来方向的叙述性雨审查
Andrea Lastrucci1, Yannick Wandael1, Angelo Barra1
1Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy.
Journal of clinical medicine
|December 17, 2024
概括
自然语言处理 (NLP) 和聊天机器人在放射学方面表现有前途,但需要标准化的协议才能可靠地在临床上使用. 未来的研究应该侧重于与医疗器械的整合和伦理考虑,以推进患者护理.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 放射学研究 放射学研究
背景情况:
- 在放射学中使用聊天机器人和自然语言处理 (NLP) 是一个不断扩大的研究领域.
- 现有的文献包括15篇关于NLP/NLM在医疗保健中的应用的系统性审查.
研究的目的:
- 提供NLP和自然语言模型 (NLM),包括聊天机器人,在医疗保健中的全面概述.
- 探索这些技术在放射学领域的早期发展和未来影响.
- 识别潜力,机会,需要改进的领域,并为NLP/NLM的采用提出建议.
主要方法:
- 采用了一种总体审查方法.
- 使用标准化检查清单和质量控制来进行科学论文的纳入.
- 综合了来自15个系统审查的研究结果.
主要成果:
- 包括聊天机器人在内的NLP/NLM提供了增强临床决策,患者参与和沟通的潜力.
- 重要挑战包括缺乏标准化的协议,影响可靠性和一致性.
- 关于NLP/NLM与医疗器械 (MD) 交叉的研究有限.
结论:
- 标准化协议对于在放射学等高风险领域安全和一致地部署NLP/NLM工具至关重要.
- 需要进一步研究将这些技术与MD工作流程集成.
- 解决伦理问题和进行纵向研究对于负责任的创新和改善患者护理至关重要.
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