U.S., Nov. 13 -- ClinicalTrials.gov registry received information related to the study (NCT07227376) titled 'Data Collection Using Eko Digital Devices in a Clinical Setting' on Oct. 24.
Brief Summary: The purpose of this research is to prospectively train and validate an artificial intelligence machine learning (ML) algorithm to detect the presence of adventitious lung sounds in adults. Clinicians will use the Eko CORE and/or Eko CORE 500 device(s) in real clinical settings to collect normal and abnormal lung sounds, as part of standard of care clinical practice, which will then be used to explore an ML algorithm for classifiers for wheeze, coarse crackle, fine crackle, rhonchus, stridor, rales, and cough, as well as determine any correspo...