Scientists have developed a digital soft wearable stethoscope (SWS) based on flexible mechanics that can remotely auscultate real-time cardiorespiratory sounds and perform automated disease phenotypic classification based on machine learning . The SWS has shown better accuracy and efficacy than the conventional stethoscope in evaluating patients with chronic obstructive pulmonary disease (COPD) and cardiovascular diseases (CVD). Download here!
##Reference## Sung Hoon Lee et al, Fully portable continuous real-time auscultation with a soft wearable stethoscope designed for automated disease diagnosis, Science Advances (2022).## Do you think the wearable stethoscope will revolutionize digital healthcare and benefit patients in remote areas?
