2021 SAEMF/AEUS Research Grant - $10,000
"Automated vs Manual Assessment of B-Lines for Diagnosing Pulmonary Edema with Ultrasound”
One of the more recent applications of artificial intelligence is for the evaluation of B lines. B lines reflect increased water in the interstitial space and can be seen with pulmonary edema from congestive heart failure, acute respiratory distress syndrome, and pneumonia. Identifying B lines on ultrasound can assist with determining the cause of dyspnea in the Emergency Department setting, reducing diagnostic uncertainty and facilitating more targeted treatment interventions. This study will evaluate the inter-reliability of manual B line assessment when compared with automated assessment.
Michael Gottlieb, MD
Rush University Medical Center