Artificial intelligence guided imaging as a tool to fill gaps in health care delivery

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-05-05 DOI:10.1038/s41746-025-01613-2

Ben Li, Elizabeth J. Enichen, Kimia Heydari, Joseph C. Kvedar

引用次数: 0

Abstract

Deep vein thrombosis (DVT) causes significant morbidity/mortality and timely diagnosis often via ultrasound is critical. However, the shortage of trained ultrasound providers has been an ongoing challenge. Recently, Speranza and colleagues (2025) demonstrated that an artificial intelligence (AI) guided ultrasound system used by non-ultrasound-trained nurses with remote clinician review can achieve sensitivities of 90–98% and specificities of 74–100% for diagnosing DVT. This study highlights the potential for AI guided imaging to address important gaps in health care delivery.

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人工智能引导成像作为一种工具来填补医疗保健服务的空白

深静脉血栓形成（DVT）引起严重的发病率/死亡率，通过超声及时诊断是至关重要的。然而，训练有素的超声提供者短缺一直是一个持续的挑战。最近，Speranza等（2025）证明，未经超声培训的护士在远程临床医生审查下使用人工智能（AI）引导的超声系统诊断DVT的灵敏度为90-98%，特异性为74-100%。这项研究强调了人工智能引导成像在解决医疗保健服务中的重要空白方面的潜力。

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

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.