英国医院医学中的人工智能:从创新到实施
Dervla Carroll1, Vijna Boodhoo1, David J Lowe1,2
1Digital Health Validation Lab, College of Medicine, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
British journal of hospital medicine (London, England : 2005)
|December 24, 2025
概括
医疗保健中的人工智能 (AI) 需要了解从研究到临床使用的途径. 这包括数据培训,安全验证,监管批准,采购,实施和持续监测,以确保有效的患者护理.
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
- 临床人工智能 临床AI
背景情况:
- 英国医疗保健系统面临着越来越大的压力,人工智能 (AI) 提供了潜在的解决方案.
- 扩展人工智能应用需要医疗保健专业人员了解研究到临床翻译过程.
- 成功的AI整合需要从开发到部署的不同阶段进行导航.
研究的目的:
- 为医疗保健中人工智能采用途径提供结构化的概述.
- 支持临床医生批判性地评估AI的潜力和局限性.
- 促进人工智能在临床实践中的知情参与和最佳整合.
主要方法:
- 对将人工智能研究转化为临床应用所涉及的各个阶段的审查.
- 在人工智能采用途径的每个步骤中分析挑战和机会.
- 专注于临床医生对AI能力和局限性的理解.
主要成果:
- 人工智能采用涉及连续的步骤:数据培训/验证,证据生成,监管合规,采购,临床实施和监测.
- 每个阶段都面临着独特的挑战,影响成功的AI整合.
- 临床医生需要了解人工智能,以确保适当有效地使用它.
结论:
- 对人工智能采用途径的结构化理解对医疗保健专业人员至关重要.
- 对人工智能集成的知情评估和优化可以提高患者的护理.
- 与人工智能的有效接触需要了解其能力,局限性和实施过程.
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