Actively Recruiting
Data Collection Using Eko Digital Devices in a Clinical Setting
Led by Eko Devices, Inc. · Updated on 2025-12-05
250
Participants Needed
2
Research Sites
41 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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 correspondences between the type and/or location of adventitious lung sounds and the type of pulmonary conditions as reported by clinicians.
CONDITIONS
Official Title
Data Collection Using Eko Digital Devices in a Clinical Setting
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Suspected or diagnosed lower respiratory condition OR presence of wheeze, coarse crackle, fine crackle, rhonchus, stridor, rales, and cough found during routine lung exam
- Normal patients with no abnormal lung sounds
- Adults and pediatric patients (as available)
You will not qualify if you...
- Unable to have multiple lung sound recordings taken on chest and back (e.g., limited mobility)
- Currently on mechanical ventilation
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 2 locations
1
Nemours Children's Health
Jacksonville, Florida, United States, 32256
Actively Recruiting
2
Jefferson Einstein Philadelphia Hospital
Philadelphia, Pennsylvania, United States, 19141
Actively Recruiting
Research Team
C
Clinical Research Associate
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here