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Peer-Reviewed Publication
Diagnostics (Basel)2025;15(17)August 25, 2025Journal Article

AI Enhances Lung Ultrasound Interpretation Across Clinicians with Varying Expertise Levels.

Seyed Ehsan Seyed Bolouri1, Masood Dehghan1, Mahdiar Nekoui1, Brian Buchanan2, Jacob L Jaremko3, Dornoosh Zonoobi1, Arun Nagdev1,4, Jeevesh Kapur5
1Exo Imaging, Santa Clara, CA 95054, USA.
2Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2B7, Canada.
3Department of Radiology and Diagnostic Imaging, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R3, Canada.
4Alameda Health System, Highland Hospital, University of California San Francisco, San Francisco, CA 94143, USA.
5Department of Diagnostic Imaging, National University of Singapore, Singapore 119074, Singapore.
PubMed PMC DOI PDF

Abstract

Background/Objective: Lung ultrasound (LUS) is a valuable tool for detecting pulmonary conditions, but its accuracy depends on user expertise. This study evaluated whether an artificial intelligence (AI) tool could improve clinician performance in detecting pleural effusion and consolidation/atelectasis on LUS scans. Methods: In this multi-reader, multi-case study, 14 clinicians of varying experie…

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