人工智能聊天机器人大型语言模型的性能,以解决骨生物学和骨健康问题
Michelle Cung1, Branden Sosa1, He S Yang1
1Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY 10065, United States.
概括
人工智能 (AI) 聊天机器人提供医疗信息,但对于骨健康的准确性各不相同. 聊天GPT 4.0得分最高,尽管人工智能响应的局限性需要仔细考虑最佳实践.
科学领域:
- 生物医学科学 生物医学科学
- 骨生物学 骨生物学
- 医学中的人工智能.
背景情况:
- 大型语言模型 (LLM) 和人工智能聊天机器人越来越多地用于医疗信息检索.
- 人工智能聊天机器人在骨健康和科学方面的性能和可靠性尚未得到充分理解.
- 评估AI聊天机器人对于了解它们对医学知识传播的影响至关重要.
研究的目的:
- 评估领先的人工智能聊天机器人 (ChatGPT 4.0,BingAI,Bard) 关于骨健康的答案的准确性和质量.
- 确定与使用人工智能聊天机器人用于生物医学和骨健康信息相关的机会和风险.
- 在基础科学,临床管理和患者查询中比较不同AI聊天机器人的性能.
主要方法:
- 评估了三个知名的LLM聊天机器人 (ChatGPT 4.0,BingAI,Bard).
- 对每个聊天机器人提出了30个问题,分三个类别:骨生物学,临床管理和患者查询.
- 答案的准确性和质量由四名独立审稿人评分.
主要成果:
- 所有聊天机器人都提供了有关骨疾病的相关信息,但响应质量差异很大.
- 在所有类别中,ChatGPT 4.0获得了最高的整体中位数.
- 限制包括不一致,不完整或不相关的反应,不适当的来源利用,以及未考虑临床背景或不确定性.
结论:
- 人工智能聊天机器人显示出传播骨健康信息的潜力,但具有显著的局限性.
- 需要仔细考虑人工智能聊天机器人的优缺点.
- 对最佳实践的指导方针是必要的,以确保可靠地使用人工智能聊天机器人来获得骨健康信息.
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