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Peer-Reviewed Publication
NPJ Digit Med2025;8(1):213.April 19, 2025Journal Article

Overcoming barriers in the use of artificial intelligence in point of care ultrasound.

Roberto Vega1, Masood Dehghan2, Arun Nagdev3, Brian Buchanan4, Jeevesh Kapur5, Jacob L Jaremko6, Dornoosh Zonoobi7
1Exo Imaging, Santa Clara, CA, 95054, USA. rromero@exo.inc.
2Exo Imaging, Santa Clara, CA, 95054, USA.
3Alameda Health System, Highland Hospital, University of California San Francisco, San Francisco, CA, 94143, USA.
4Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2B7, Canada.
5Department of Diagnostic Imaging, National University of Singapore, Queenstown, 119074, Singapore.
6Department of Radiology and Diagnostic Imaging, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2R3, Canada.
7Exo Imaging, Santa Clara, CA, 95054, USA. dornoosh@exo.inc.
PubMed PMC DOI PDF

Abstract

Point-of-care ultrasound is a portable, low-cost imaging technology focused on answering specific clinical questions in real time. Artificial intelligence amplifies its capabilities by aiding clinicians in the acquisition and interpretation of the images; however, there are growing concerns on its effectiveness and trustworthiness. Here, we address key issues such as population bias, explainabilit…

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