Eko Devices, Inc.

This study is testing whether a digital stethoscope, combined with artificial intelligence, can detect two serious conditions: high blood pressure in the lungs (pulmonary hypertension) and a weak heart pump (low ejection fraction). About 3,850 adults will have their heart sounds …

This study is testing whether a digital stethoscope and a simple heart monitor (ECG) can detect pulmonary hypertension, a serious condition where blood pressure in the lungs is too high. About 1,500 adults who are already scheduled for heart tests will have their heart sounds and…

This study is testing whether a special digital stethoscope, combined with artificial intelligence, can detect pulmonary hypertension (high blood pressure in the lungs) by listening to heart sounds and recording a single-lead ECG. Researchers will enroll over 2,400 adults who are…

This study is testing whether an artificial intelligence program can detect low heart function (ejection fraction ≤40%) using heart sounds and a 3-lead ECG recorded with a digital stethoscope. Researchers will collect recordings from 500 adults who have recently had an echocardio…

This study is testing whether a machine learning algorithm can accurately detect heart murmurs that point to structural heart disease. Researchers will record heart sounds from 125 adults using two different digital stethoscopes and compare the algorithm's findings to standard ec…

This study uses digital stethoscopes to record lung sounds from 250 adults and children in real clinical settings. The goal is to train an artificial intelligence algorithm to automatically detect wheezes, crackles, and other abnormal sounds. The research does not test any treatm…

This study uses digital stethoscopes to record lung sounds from 200 adults, including those with and without lung conditions. The goal is to collect enough data to train artificial intelligence to automatically identify abnormal breathing sounds like wheezes and crackles. Partici…