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评估大型语言模型在脊柱健康信息传播中的有效性

Aaron Lawson McLean¹, Christian Senft¹

¹Department of Neurosurgery, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany.

|May 1, 2024

概括

人工智能 (AI) 可以增强脊柱健康教育. 多学科评估和严格的医疗保健法规对于负责任的AI在医学中的实施至关重要.

科学领域:

脊柱健康脊柱健康
医学教育医学教育
人工智能的人工智能

背景情况:

人工智能 (AI) 融入医学教育带来了新的机遇和挑战.
脊柱健康教育特别是可以从人工智能驱动的工具和平台中受益.
确保人工智能在医疗保健中的安全和有效使用需要仔细考虑.

研究的目的:

检查人工智能 (AI) 在推进脊柱健康教育中的多方面的作用.
强调需要对医疗保健中的人工智能技术进行全面,多学科的评估.
倡导建立强大的监管框架来管理医疗领域的AI.

主要方法:

关于人工智能在医学和脊柱健康教育中的应用的文献综述.
对医疗保健环境中人工智能评估现有框架的分析.
关于人工智能监管和实施的专家建议的综合.

主要成果:

人工智能为个性化学习体验和在脊柱健康方面增强知识传播提供了潜力.
多学科的人工智能评估对于解决伦理,临床和技术方面的问题至关重要.
目前的监管环境需要加强,以确保患者安全和人工智能数据完整性.

结论:

人工智能对改善脊柱健康教育具有重大前景.
合作,多学科的方法对于评估人工智能工具至关重要.
严格的适应性法规对于将人工智能负责任地整合到医疗保健中至关重要.

关键词:

伦理方面的影响.医疗保健人工智能的人工智能大型语言模型.患者教育患者教育监管框架监管框架脊柱的健康脊柱的健康

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