Data Collection Using Eko Digital Devices for Lung Sounds
This study is collecting information using Eko digital stethoscopes (Eko CORE 500 and 3M Littmann CORE Digital Stethoscope) to help develop an artificial intelligence (AI) program. This AI program aims to identify different types of abnormal lung sounds, like wheezing or crackles, in adults. Clinicians will use these digital stethoscopes during routine check-ups to record both normal and abnormal lung sounds from patients with or without lung conditions. The goal is to see if the AI can accurately detect these sounds and connect them to specific lung problems. You can join if you have a suspected or diagnosed lung condition, or if you have certain lung sounds like wheezing or crackles. People with normal lung sounds can also participate. This is an observational study, meaning you won't receive a new treatment, but your lung sounds will be recorded as part of your usual care. The study plans to enroll 250 people.
- Study design
- This is an observational study that plans to enroll 250 participants. It is not specified if it is randomized or blinded.
- What's involved
- You would have multiple recordings taken on your chest and back using Eko digital stethoscopes as part of your standard medical care.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your participation will last through study completion, which is an average of 8-9 months.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Data Collection Using Eko Digital Devices in a Clinical Setting
At a glance
Conditions
Where it's being run
2 sites across 2 statesWho to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Primary ObjectiveThrough study completion, an average of 8-9 months
The primary objective of this study is to collect normal and abnormal lung sounds of up to 750 patients per study site, by having clinicians use the Eko CORE and/or Eko CORE 500 device(s) in real clinical settings, 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 correspondences between the type and/or location of adventitious lung sounds and the type of pulmonary conditions as reported by clinicians.