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在医疗安全教育中,ChatGPT和生成人工智能的潜力和局限性

Xin Wang¹, Xin-Qiao Liu²

¹School of Education, Tianjin University, Tianjin 300350, China.

World journal of clinical cases

|December 11, 2023

概括

像ChatGPT这样的人工智能 (AI) 可以通过提供广泛的知识和个性化服务来增强医疗安全教育. 然而,为了有效实施,必须解决信息准确性和道德问题等挑战.

科学领域:

医学教育医学教育
医疗保健中的人工智能

背景情况:

医疗安全教育旨在为公众提供药物知识,并促进科学药物使用.
包括ChatGPT在内的生成人工智能模型正在成为该领域的强大工具.

研究的目的:

探索人工智能的潜力,特别是ChatGPT,在革新医疗安全教育方面.
确定在这个领域实施人工智能的好处和挑战.

主要方法:

对用于教育目的的生成人工智能模型能力的审查.
分析医疗安全教育中的潜在应用和局限性.

主要成果:

人工智能提供了诸如广泛的知识,匿名性,持续可用性和个性化学习等好处.
关键的挑战包括确保信息准确性,定义法律责任和解决道德义务.

结论:

智能升级像ChatGPT这样的AI模型是必不可少的,通过将它们与当前的医疗实践整合起来.
解决伦理和安全问题对于向公众提供全面,高效和个性化的医疗服务至关重要.

关键词:

聊天GPT 聊天GPT 的意思生成式的人工智能 (GAI) 是一种人工智能.限制限制的限制限制的限制医疗安全教育教育医疗安全教育这是一个潜在的潜力.

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