聊天GPT在医学教育中的使用现状:潜力,挑战和战略
Tianhui Xu1,2, Huiting Weng1, Fang Liu1
1Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital of Central South University, Changsha, China.
Journal of medical Internet research
|August 28, 2024
概括
聊天GPT,一个生成的人工智能工具,为医学教育提供个性化的学习和临床模拟. 建议制定策略,以减轻抄袭等风险,确保准确性,加强其在培训未来医疗专业人员方面的作用.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 自然语言处理自然语言处理.
背景情况:
- 自2022年11月以来,生成预训练变压器 (ChatGPT) 已经获得了全球关注.
- 围绕其在医学教育和科学研究中的使用存在争议.
- 该技术为医疗领域带来了机遇和挑战.
研究的目的:
- 检查医疗教育中使用ChatGPT的应用,局限性和策略.
- 解决有关学术诚信和内容可靠性的担忧.
- 提出方法,以优化ChatGPT的整合到医疗培训.
主要方法:
- 分析ChatGPT在个性化学习和临床场景模拟方面的能力.
- 识别挑战,包括过度依赖,抄袭,准确性和道德问题.
- 制定降低风险和增强内容的策略.
主要成果:
- 聊天GPT可以提供个性化的学习支持和模拟临床场景,帮助医学教育.
- 挑战包括防止抄袭,确保内容的准确性和可靠性,并解决伦理/安全问题.
- 拟议的战略包括教育改革,多元化评估,数据优化和明确的道德准则.
结论:
- 聊天GPT具有很大的潜力,可以推进医学教育和培训高水平的专业人士.
- 通过研究和战略实施来应对挑战,对于利用其好处至关重要.
- 优化其使用需要在技术能力和教育完整性之间保持平衡.
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