从炒作到实施:将gpt - 40嵌入医学教育。

IF 3.2 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Sumaia Sabouni, Mohammad-Adel Moufti, Mohamed Hassan Taha
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引用次数: 0

摘要

未标记:GPT-4 Omni (gpt - 40)的发布,一种先进的多模态生成人工智能(AI)模型,在高等教育领域引起了极大的热情。然而,一年后,医学教育继续面临重大挑战,这表明需要从最初的实验转向医学教育中多模式人工智能的整合,以实现有意义的整合。在这一观点中,我们认为gpt - 40的真正价值不在于新颖,而在于它通过提供实时模拟和自适应学习体验,在安全、沉浸式和经济高效的环境中使用文本、音频和视觉输入,增强沟通技巧、临床推理和程序技能的培训潜力。在传统教学方法难以复制现实世界临床场景的复杂性和动态性的情况下,我们探索这种创新如何通过模拟真实的患者互动、提供个性化反馈、减少教育者的工作量和成本,使解决关键的医学教育挑战成为可能。然而,我们也解决了这种方法的关键挑战,包括数据准确性、偏见和道德决策。与其将gpt - 40视为替代品,我们建议将其作为一种战略补充,纳入课程框架,并通过正在进行的研究进行评估。随着焦点从人工智能的新颖性转向可持续实施,我们呼吁教育工作者、政策制定者和课程设计师建立治理机制,试点评估策略,并开展教师培训。人工智能在医学教育中的未来不取决于下一个突破,而取决于我们如何将今天的工具与意图和严谨结合起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Hype to Implementation: Embedding GPT-4o in Medical Education.

Unlabelled: The release of GPT-4 Omni (GPT-4o), an advanced multimodal generative artificial intelligence (AI) model, generated substantial enthusiasm in the field of higher education. However, one year later, medical education continues to face significant challenges, demonstrating the need to move from initial experimentation with the integration of multimodal AIs in medical education toward meaningful integration. In this Viewpoint, we argue that GPT-4o's true value lies not in novelty, but in its potential to enhance training in communication skills, clinical reasoning, and procedural skills by offering real-time simulations and adaptive learning experiences using text, audio, and visual inputs in a safe, immersive, and cost-effective environment. We explore how this innovation has made it possible to address key medical educational challenges by simulating realistic patient interactions, offering personalized feedback, and reducing educator workloads and costs, where traditional teaching methods struggle to replicate the complexity and dynamism of real-world clinical scenarios. However, we also address the critical challenges of this approach, including data accuracy, bias, and ethical decision-making. Rather than seeing GPT-4o as a replacement, we propose its use as a strategic supplement, scaffolded into curriculum frameworks and evaluated through ongoing research. As the focus shifts from AI novelty to sustainable implementation, we call on educators, policymakers, and curriculum designers to establish governance mechanisms, pilot evaluation strategies, and develop faculty training. The future of AI in medical education depends not on the next breakthrough, but on how we integrate today's tools with intention and rigor.

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来源期刊
JMIR Medical Education
JMIR Medical Education Social Sciences-Education
CiteScore
6.90
自引率
5.60%
发文量
54
审稿时长
8 weeks
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