The Arctic University of Norway, Norway.
Norwegian Centre for E-health Research, Norway.
Stud Health Technol Inform. 2024 Aug 22;316:580-584. doi: 10.3233/SHTI240480.
Artificial intelligence (AI) is expected to transform healthcare systems and make them more sustainable. Despite the increased availability of AI tools for disease detection, evidence of their impact on healthcare organisations and patient care remains limited. Drawing on previous research underscoring the need for comprehensive evaluations of real-world AI deployments, this paper explores the challenges and opportunities encountered while procuring and implementing AI solutions for radiology. The paper aims to contribute to a better understanding of the complexities surrounding AI deployments in real-world clinical settings through a process evaluation study.
人工智能（AI）有望改变医疗体系，使其更具可持续性。尽管用于疾病检测的 AI 工具越来越多，但它们对医疗组织和患者护理的影响的证据仍然有限。本文借鉴了先前的研究，强调了对 AI 实际部署进行全面评估的必要性，探讨了在采购和实施放射科 AI 解决方案时遇到的挑战和机遇。通过过程评估研究，本文旨在为更好地理解现实临床环境中 AI 部署的复杂性做出贡献。
