Share:
Peer-Reviewed Publication
J Spec Oper Med2026;26(1):57-0.April 3, 2026Journal Article

AI-Assisted Lung Sliding Detection in Point-of-Care Ultrasound by Marine Corps Corpsmen: A Multi-Reader Study.

Melissa Cote1, Ross Prager2, Khoa Tran3, Nicolas Orozco4, Delaney Smith3, Zoe Holliday5, Robert Arntfield6
1Schulich School of Medicine, London, ON.
2London Health Sciences Centre, London, ON.
3Deep Breathe Inc., London, ON.
4Centro de Investigaciones Clínicas, Fundación Valle del Lili, Cali, Colombia.
5Western University, London, ON.
6London Health Sciences Centre and Deep Breathe Inc., London, ON.

Abstract

BACKGROUND: Artificial intelligence (AI) has the potential to address training limitations and inter-operator variability that constrain the use of lung ultrasound (LUS) in austere and prehospital settings. This pilot study evaluated whether AI-based decision support could improve the diagnostic accuracy and confidence of United States Marine Corps Corpsmen in identifying absent lung sliding, a ke…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.