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The American Journal of Emergency Medicine|January 28, 2025
Diagnostic accuracy of an automated classifier for the detection of pleural effusions in patients undergoing lung ultrasoundRushil Chaudhary, Jordan Ho, Delaney Smith, et al.
Chest|February 16, 2024
Automated Real-Time Detection of Lung Sliding Using Artificial Intelligence: A Prospective Diagnostic Accuracy StudyHans Clausdorff Fiedler, Ross Prager, Delaney Smith, et al.
Scientific Reports|November 24, 2022
Initial evaluation of extracorporeal immunomodulatory therapy for the treatment of critically ill COVID-19 infected patientsSandrine Lemoine, Jarrin Penny, Douglas D Fraser, et al.
Intensive Care Medicine|November 17, 2025
Bedside thoracic echography in ICU: new insights for acute circulatory and respiratory failureLaurent Muller, Giovanni Volpicelli, Silvia Mongodi, et al.
Diagnostics (Basel, Switzerland)|October 27, 2022
Enhancing Annotation Efficiency with Machine Learning: Automated Partitioning of a Lung Ultrasound Dataset by ViewBennett VanBerlo, Delaney Smith, Jared Tschirhart, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Automation of Lung Ultrasound Interpretation via Deep Learning for the Classification of Normal versus Abnormal Lung Parenchyma: A Multicenter StudyRobert Arntfield, Derek Wu, Jared Tschirhart, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|July 1, 2020
Critical Care Transesophageal Echocardiography in Patients during the COVID-19 PandemicFelipe Teran, Katharine M Burns, Mangala Narasimhan, et al.
Canadian Respiratory Journal|September 26, 2014
Canadian recommendations for critical care ultrasound training and competencyRobert Arntfield, Scott Millington, Craig Ainsworth, et al.
Critical Care Medicine|January 20, 2023
Prospective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICUChintan Dave, Derek Wu, Jared Tschirhart, et al.
Computers in Biology and Medicine|August 19, 2022
Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approachBlake VanBerlo, Derek Wu, Brian Li, et al.
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