Louis Plesner talks AI x-ray exam reads vs. radiologists'

Will Morton
Sep 28, 2023

In an interview with AuntMinnie.com, Louis Plesner, MD, of Herlev and Gentofte Hospital in Copenhagen, Denmark, discussed a study he led that was published September 26 in Radiology that found radiologists outperformed four commercially available algorithms for identifying diseases on chest x-rays.


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Tracking and quantitative analysis of diaphragmatic motion and projected lung area (PLA) at dynamic chest radiography (DCR) in a 55-year-old healthy man during deep breathing. (A) Posteroanterior radiograph with purple and green lines indicating the right and left lateral diaphragm apices, respectively. (B) Graph of diaphragmatic motion (in millimeters; y-axis) over time (i.e., frame number; x-axis). The software tracked the position of the diaphragm apex at DCR to obtain these amplitude-time plots of diaphragmatic motion (right lung, purple; left lung, green). The dark blue line corresponds to the frame representing the end of inspiration; the light blue line corresponds to the frame representing the end of expiration. (C) Posteroanterior radiograph shows the PLA (outline), which is the area surrounded by the medial edge of the ribs, the diaphragm, and the edge of the mediastinum. (D) Graph of PLA (in millimeters squared; y-axis) over time (i.e., frame number; x-axis). The software automatically tracked the boundaries of the lung fields and obtained the time-varying curves of the bilateral lung field areas. The blue line corresponds to the frame representing the end of inspiration.
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