谷歌的人工智能聊天机器人"Bard" (现在是"Gemini") 在眼科委员会考试实践问题上的表现
Monica Botross1, Seyed Omid Mohammadi1, Kendall Montgomery1
1Ophthalmology, Burnett School of Medicine at Texas Christian University, Fort Worth, USA.
Cureus
|May 1, 2024
概括
像Bard这样的人工智能聊天机器人显示出回答眼科考试问题的潜力,但目前缺乏人类专家的全面理解. 人工智能可以补充,而不是取代眼科医生的培训和知识.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 医学教育 医学教育
背景情况:
- 眼科董事会认证需要全面的知识.
- 人工智能 (AI) 工具正在越来越多地被用于医学教育.
- 在专业医疗领域评估AI性能至关重要.
研究的目的:
- 评估AI聊天机器人"Bard"在回答眼科委员会认证实践问题上的表现.
- 确定巴德在处理复杂的眼科临床和科学查询方面的准确性和局限性.
主要方法:
- 来自董事会式问题库的250个多选择题被输入到Bard.
- 问题涵盖了10个眼科分科,包括纯文本和基于图像的格式.
- 准确答案的百分比被计算为每个部分和整体.
主要成果:
- 在所有问题上,Bard的平均准确率为62.4%.
- 根据主题的表现有显著差异",眼塑料" (84%) 优于"视网膜和玻璃体" (24%).
- 巴德扎在图像沉重和一些小贴士风格的问题上,导致遗漏.
结论:
- 像巴德一样,当前的人工智能可以分析医疗数据,但缺乏眼科医生的临床经验和整体理解.
- 人工智能是眼科医生研究方法的宝贵补充工具.
- 在复杂的医疗决策和委员会检查中,人类专业知识仍然是不可替代的.
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