使用ChatGPT重塑未来的医学教育和学习前景:诅咒还是祝福?
Tessa Breeding1, Brian Martinez1, Heli Patel1
1Kiran Patel College of Allopathic Medicine, NOVA Southeastern University, Fort Lauderdale, FL, USA.
The American surgeon
|June 13, 2023
概括
医学学生发现ChatGPT的文章比外科条件的基于证据的资源更清晰,更有组织. 然而,基于证据的文章被学生认为更全面.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 手术病理学手术病理学
背景情况:
- 聊天GPT显示了改变医学教育的潜力.
- 与传统资源相比,对人工智能产生的内容进行评估至关重要.
研究的目的:
- 为了比较医学学生和非专业人士对ChatGPT生成的信息的评价与基于证据的资源.
- 评估人工智能产生的医疗内容的清晰度,相关性,可靠性,有效性,组织和全面性.
主要方法:
- 一项匿名在线调查对美国的医学学生和平民进行了调查.
- 参与者对来自ChatGPT和基于证据的来源的5种常见的外科病症进行了盲目评价.
- 配对样本t测试分析了两个来源之间的评级差异.
主要成果:
- 医学学生发现ChatGPT的文章对于大多数外科病情来说显著更清晰,组织得更好.
- 基于证据的文章被医学学生在所有5种疾病中始终评为更全面的文章.
- 报告没有关于相关性,可靠性或有效性的显著差异.
结论:
- 医学学生认为人工智能生成的内容 (ChatGPT) 对于学习外科主题来说更清晰,更有组织.
- 综合性仍然是传统基于证据的医疗资源的关键优势.
- 研究结果强调,需要在医学教育中仔细整合人工智能工具.
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