 In this study, researchers used a novel full spectrum, 3-2,000 Hz, stethoscope to analyze lung sound recordings from 164 COVID-19 pneumonia patients, 61 non-COVID-19 pneumonia patients and 141 healthy subjects. They then trained a machine learning algorithm on these recordings to identify patterns associated with COVID-19 pneumonia. When analyzed together, the sound and infrasound data provided a higher accuracy than either alone, allowing for the detection of COVID-19 pneumonia with a sensitivity and specificity of 97% and 93%, respectively. This suggests that the use of a full-spectrum stethoscope may be a valuable tool in the diagnosis of COVID-19 pneumonia.