我们要求聊天GPT描述慢性疼痛中的大脑雾:我们学到了什么?
1School of Rehabilitation Sciences, McMaster University, Hamilton, Ontario, Canada.
Digital health
|September 17, 2024
概括
本评论探讨了在医疗保健中使用聊天生成预训练变压器 (GPT) 的好处和风险,特别是在慢性疼痛和脑雾方面. 它强调了研究促进等潜在的优势和错误信息等危险.
科学领域:
- 医疗保健中的人工智能
- 医疗信息学 医疗信息学
- 数字健康数字健康
背景情况:
- 像Chat Generative Pre-trained Transformer (GPT) 这样的先进的人工智能语言模型的出现在学术界引发了争论.
- 脑雾是一个复杂的现象,在科学和公共领域都引起了人们的注意.
- 了解人工智能在医疗保健中的影响对于知情的采用至关重要.
研究的目的:
- 评估聊天GPT在探索医疗保健主题中的实用性,使用脑雾作为案例研究.
- 概述与在医疗环境中使用Chat GPT相关的潜在好处和固有的风险.
- 为医疗保健专业人员提供指导,考虑将聊天GPT整合到他们的实践中.
主要方法:
- 本评论通过讨论其在医疗保健问题上的应用来分析聊天GPT的功能.
- 介绍了一个聊天GPT在理解大脑雾的使用的一个说明性例子.
- 对聊天GPT的潜在优点和缺点进行了批判性研究.
主要成果:
- 聊天GPT提供优势,如简化信息检索,协助起草患者教育材料,识别研究差距,并确定科学分歧的领域.
- 显著的风险包括产生不准确的信息和延续社会偏见和刻板印象.
- 评论强调需要对人工智能产生的内容进行批判性评估.
结论:
- 医疗保健专业人员在使用Chat GPT寻找非关键信息和自我教育时应谨慎和批判性判断.
- 对人工智能技术的好处和潜在危害的认识至关重要,因为它们越来越融入社会.
- 需要进一步的研究和指导方针来确保在医疗保健环境中负责任地使用人工智能.
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