Interobserver Agreement and Correlation of an Automated Algorithm for B‐Line Identification and Quantification With Expert Sonologist Review in a Handheld Ultrasound Device

• Published in: Journal of ultrasound in medicine Vol. 41; no. 10; pp. 2487 - 2495
• Main Authors: Moore, Christopher L., Wang, Jing, Battisti, Anthony J., Chen, Alvin, Fincke, Jonathan, Wang, Anita, Wagner, Michael, Raju, Balasundar, Baloescu, Cristiana
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.10.2022
• Subjects: artificial intelligence; b‐lines; handheld ultrasound; lung ultrasound; POCUS; point‐of‐care ultrasound; b-lines; point-of-care ultrasound; lung ultrasound; POCUS; artificial intelligence; handheld ultrasound

Objectives B‐lines are ultrasound artifacts that can be used to detect a variety of pathologic lung conditions. Computer‐aided methods to detect and quantify B‐lines may standardize quantification and improve diagnosis by novice users. We sought to test the performance of an automated algorithm for...