Call to Action: Accelerating AI-driven Transformation in Medical Imaging and the Broader Health Care System.

IF 17.6 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Radiology Pub Date : 2026-08-01 DOI:10.1148/radiol.253974
Linda Moy, Alberto Vargas, Judy Wawira Gichoya, Matthew P Lungren, Luis Martí-Bonmatí, Christopher P Hess, Miriam A Bredella, Mitchell Schnall
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引用次数: 0

Abstract

Global imaging demand now exceeds capacity due to an aging population, rising comorbidities, expanded indications for imaging, and workforce shortages. These pressures are reshaping national health care policy. At the same time, the competing demands to expand access to imaging services while reducing costs are creating momentum to reimagine imaging delivery through the integration of transformative technologies like artificial intelligence (AI). This consensus statement from the International Society for Strategic Studies in Radiology (IS3R) is a call to action, outlining promising AI solutions that increase workflow efficiency and align radiology with health system and payer priorities. Reflecting expert consensus from the IS3R meeting in Dublin, Ireland, in August 2025, this statement defines strategic directions for radiology amid accelerating digitalization, rapid innovation, and data-driven patient care. This article covers four domains: image interpretation, capacity building, data governance, and systemic digital transformation. This article examines how AI can address rising imaging demand and costs while addressing challenges related to improving data quality, standardization, and interoperability. It also highlights the need to re-engineer workflows and adapt to new care models while maintaining high-quality services. Finally, it presents consensus recommendations outlining how AI can enable multimodal health data integration and advance alignment with value-based care.

行动呼吁:加速医疗成像和更广泛的医疗保健系统中人工智能驱动的转型。
由于人口老龄化、合并症增加、成像适应症扩大以及劳动力短缺,目前全球成像需求超过了能力。这些压力正在重塑国家医疗保健政策。与此同时,在降低成本的同时扩大成像服务的可及性的竞争需求正在创造通过整合人工智能(AI)等变革性技术来重新构想成像交付的势头。国际放射学战略研究学会(IS3R)的这份共识声明是一项行动呼吁,概述了有前途的人工智能解决方案,这些解决方案可提高工作流程效率,并使放射学与卫生系统和付款人的优先事项保持一致。该声明反映了2025年8月在爱尔兰都柏林举行的IS3R会议的专家共识,确定了放射学在加速数字化、快速创新和数据驱动的患者护理中的战略方向。本文涵盖了四个领域:图像解释、能力建设、数据治理和系统数字转换。本文探讨了人工智能如何应对不断增长的成像需求和成本,同时解决与提高数据质量、标准化和互操作性相关的挑战。它还强调需要重新设计工作流程并适应新的护理模式,同时保持高质量的服务。最后,它提出了共识性建议,概述了人工智能如何能够实现多模式卫生数据整合,并促进与基于价值的护理保持一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radiology
Radiology 医学-核医学
CiteScore
35.20
自引率
3.00%
发文量
596
审稿时长
3.6 months
期刊介绍: Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.
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