临床实验室医学中的AI聊天机器人:基础和趋势
He S Yang1, Fei Wang2, Matthew B Greenblatt1,3
1Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States.
Clinical chemistry
|September 4, 2023
概括
人工智能 (AI) 会话代理,或聊天机器人,在实验室医学中表现有前途,但需要严格评估准确性和可靠性. 需要进一步的研究,以确保它们安全有效地融入临床实践.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 会话代理或聊天机器人是模拟人类对话的AI程序.
- 它们在医疗保健中的应用正在扩大,但实验室医学中的作用尚不清楚.
- 聊天机器人对复杂实验室数据的准确性和解释需要严格的评估.
研究的目的:
- 审查聊天机器人的历史,发展和医疗保健中的应用,重点是实验室医学.
- 评估聊天机器人的性能,特别是大型语言模型 (LLM),用于实验室医学相关的查询.
- 分析聊天机器人的局限性,并提出研究方向,以提高准确性和可靠性.
主要方法:
- 关于聊天机器人开发和应用的文献综述.
- 分析最近的聊天机器人性能评估,包括像ChatGPT这样的LLM.
- 检查聊天机器人对实验室医学查询的响应 (知识,操作,规定,解释).
主要成果:
- 聊天机器人在医学教育,临床调查,结果解释和通信方面具有潜力.
- 目前的聊天机器人存在一些局限性,包括错误信息和缺乏推理.
- 在回答实验室医学问题时,LLM的表现不同.
结论:
- 聊天机器人具有显著的潜力,可以增强实验室医学功能.
- 用户必须意识到当前聊天机器人的局限性,例如不准确和不一致.
- 广泛的培训和验证对于实验室医学中有效的聊天机器人部署至关重要.
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