聊天机器人在眼科中的机遇和挑战:叙事审查
Mehmet Cem Sabaner1, Rodrigo Anguita2,3, Fares Antaki3,4,5
1Department of Ophthalmology, Kastamonu University, Training and Research Hospital, 37150 Kastamonu, Türkiye.
Journal of personalized medicine
|December 27, 2024
概括
人工智能 (AI) 聊天机器人在眼科研究和教育中表现有前途,特别是在多项选择考试中. 然而,为了更广泛的临床应用,必须解决伦理和隐私方面的挑战.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 自然语言处理自然语言处理.
背景情况:
- 人工智能 (AI) 正在眼科领域迅速发展,由大型语言模型 (LLM) 驱动的自然语言处理 (NLP) 聊天机器人成为关键工具.
- 这些人工智能驱动的聊天机器人越来越多地用于眼科研究,临床实践和外科应用.
研究的目的:
- 审查将基于人工智能的聊天机器人整合到眼科研究中的机会和挑战.
- 在涉及开放式和闭式问题的研究中评估聊天机器人的表现.
主要方法:
- 这篇叙事评论综合了现有的关于眼科人工智能聊天机器人的研究.
- 对于使用多项选择题 (MCQ) 和开放式问题的研究,进行了单独的分析.
主要成果:
- 聊天机器人在基于MCQ的研究中表现出准确性,表明了教育用途的潜力,但需要加强考试安全性.
- 基于AI的LLM聊天机器人在各种眼科应用中显示出潜力,包括患者询问,诊断和手术规划.
结论:
- 人工智能聊天机器人在眼科领域提供了重大机遇,特别是作为医生支持工具.
- 伦理考虑,数据隐私和医生责任是需要解决的关键挑战,需要广泛采用.
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