人工智能聊天机器人与病理学教师和住院生:来自尿生殖治疗规划会议的现实临床问题
Matthew X Luo1, Adam Lyle1, Phillip Bennett1
1Department of Pathology, University of Utah, Salt Lake City, UT, US.
American journal of clinical pathology
|June 28, 2024
概括
一个人工智能 (AI) 聊天机器人在医学问题上表现出与病理学学院相美的准确性. 虽然有希望,但人工智能融入医疗决策需要解决它缺乏参考支持的问题.
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
- 病理学 病理学 病理学
背景情况:
- 人工智能 (AI) 聊天机器人在包括医学在内的各个领域都有潜力.
- 然而,它们在医学环境中的准确性和临床相关性需要进一步研究.
- 这项研究专门研究了AI聊天机器人在临床环境中的表现.
研究的目的:
- 评估AI聊天机器人的反应的准确性和临床相关性.
- 为了比较人工智能聊天机器人的表现与病理学居民和教师.
- 在医疗治疗规划会议上评估AI聊天机器人的实用性.
主要方法:
- 一个人工智能聊天机器人 (OpenAI ChatGPT) 和病理学实习生/教师回答了尿生殖器子专业治疗规划会议问卷.
- 盲目的临床医生和病理学专家评估了反应.
- 评分是基于准确性和临床相关性.
主要成果:
- 人工智能聊天机器人获得了4.10的分数,比未准备的居民 (2.87) 的表现更好,与研究准备的居民 (3.50) 和教师 (4.75) 的表现相当.
- 人工智能聊天机器人的表现在统计学上明显优于没有准备的居民 (P = .03).
- 教师的表现明显优于两个居民群体 (P < .01).
结论:
- 人工智能聊天机器人显示出医疗应用的希望,提供与专家教师可比的答案.
- 对人工智能产生的答案缺乏参考支持,这引发了对临床整合和决策的担忧.
- 需要进一步开发以解决AI在提供可验证的医疗信息方面的局限性.
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