Chintan Dave, Derek Wu, Jared Tschirhart, Delaney Smith, Blake VanBerlo, Jason Deglint, Faraz Ali, Rushil Chaudhary, Bennett VanBerlo, Alex Ford, Marwan A Rahman, Joseph McCauley, Benjamin Wu, Jordan Ho, Brian Li, Robert Arntfield
OBJECTIVES: To evaluate the accuracy of a bedside, real-time deployment of a deep learning (DL) model capable of distinguishing between normal (A line pattern) and abnormal (B line pattern) lung parenchyma on lung ultrasound (LUS) in critically ill patients. DESIGN: Prospective, observational study evaluating the performance of a previously trained LUS DL model. Enrolled patients received a LUS examination with simultaneous DL model predictions using a portable device...
February 1, 2023: Critical Care Medicine