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

Journal: NPJ digital medicine
Published Date: May 5, 2025

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.

Authors

  • Ben Li
    School of Public Health, Shanxi Medical University, Taiyuan 030000, China. Electronic address: LBen@sxmu.edu.cn.
  • Elizabeth J Enichen
    Harvard Medical School, Boston, MA, USA.
  • Kimia Heydari
    Harvard Medical School, Boston, MA, USA.
  • Joseph C Kvedar
    Department of Dermatology, Massachusetts General Hospital, Boston.

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