人工智能在输血医学实践,教育和研究中的应用:一种混合方法研究
Arwa Z Al-Riyami1,2, Karl Rexer3,4, Ken Masters5
1Department of Haematology, Sultan Qaboos University Hospital, University Medical City, Muscat, Oman.
Vox sanguinis
|February 15, 2026
概括
人工智能 (AI) 正在在输血医学 (TM) 实践,教育和研究中获得吸引力. 人工智能采用的主要挑战包括访问,专业知识和数据隐私问题,需要扩大教育资源和解决监管问题.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 医疗信息学 医疗信息学
- 输血服务 输血服务
背景情况:
- 人工智能 (AI) 在医疗保健领域具有变革性的潜力.
- 输血医学 (TM) 是一个面临着人工智能驱动的重大进步的领域.
- 这项研究调查了国际输血协会 (ISBT) 成员之间的AI采用和影响.
研究的目的:
- 探索人工智能在输血医学中的使用现状.
- 了解AI在TM教育和研究中的应用.
- 确定在TM中整合AI的障碍和促进者.
主要方法:
- 一种混合方法的方法,结合了调查和采访.
- 在全球ISBT会员中进行调查 (2024年6月至11月).
- 从18个参与者采访中收集了定性见解.
主要成果:
- 在218名ISBT成员中,43.5%使用AI,主要是生成AI (GenAI) (91.1%).
- 人工智能被应用于临床TM (54.4%),教育和研究,据报道有积极影响.
- 采用障碍包括访问,成本,人工智能专业人员稀缺以及数据隐私问题.
结论:
- 人们对利用人工智能用于TM实践,教育和研究非常感兴趣.
- 人工智能采用障碍需要战略干预,包括增强教育资源.
- 解决监管,隐私和信任方面的问题对于在TM中广泛整合AI至关重要.
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