人工智能在骨科中的应用:德国和希腊的多中心国际调查
Sosanna Ierodiaconou1, Amadeo Touet2, Henry Pennig2
1Department of Orthopedics and Trauma Surgery, Karamandaneio Prefecture Children Hospital of Patras, Patras, GRC.
Cureus
|February 13, 2026
概括
人工智能 (AI) 在医疗保健中的采用在全球范围内有所不同. 德国医院更多地使用人工智能,而希腊提供者面临培训和数据安全挑战,突出了将人工智能整合到医学中的关键障碍.
科学领域:
- 医疗保健技术和医疗信息学
- 人工智能的临床应用 人工智能的临床应用
- 国际医疗保健系统研究研究
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健,影响诊断,个性化医疗和工作流效率.
- 现有研究强调了人工智能在提高诊断准确性,治疗决策和管理任务自动化方面的潜力.
- 了解当前的采用环境和感知障碍对于在医疗保健中有效实施人工智能至关重要.
研究的目的:
- 调查医疗保健系统中人工智能技术的采用,当前使用和感知到的好处.
- 将人工智能采用情况进行比较,并确定不同医疗机构和国家 (德国和希腊) 的障碍.
- 为克服医疗实践中人工智能集成挑战的战略提供信息.
主要方法:
- 进行了一项多中心国际调查.
- 从28名参与者收集数据:13名来自德国大学医院,6名来自希腊大学医院,9名来自希腊一般医疗保健提供者.
- 分析的重点是人工智能使用频率,感知到的好处和识别到的障碍.
主要成果:
- 与希腊医疗保健提供者相比,德国大学医院报告使用人工智能的频率更高.
- 发现的主要障碍:培训不足和数据安全问题 (在希腊更为突出).
- 各地区面临的共同挑战包括数据隐私,基础设施整合以及监管框架的需求.
结论:
- 人工智能在医疗保健中的采用不均,德国和希腊医疗保健系统之间观察到显著差异.
- 解决培训缺陷和数据安全问题对于更广泛的AI实施至关重要,特别是在希腊.
- 开发强大的监管框架和确保无基础设施集成对于实现人工智能在医疗保健中的全部潜力至关重要.
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