Heart Murmurs
Conditions
Keywords
eko, heart murmur, ai, machine learning, heart murmur detection
Brief summary
The Eko Artificial Intelligence (AI) has primarily been evaluated in the primary care setting. The digital stethoscope records a phonocardiogram of heart sounds of the patient and uses machine learning artificial intelligence to identify if there are abnormalities present (Eko Health, 2023). The Eko SENSORA will be tested in the emergency department. Chest pain, fatigue, shortness of breath and syncope are all symptoms that could indicate a cardiac dysfunction. The hypothesis is that this device will allow us increased ability to detect valvular heart disease that is clinically significant.
Interventions
DEVICEEko Sensora
The exam involves placing the stethoscope in the aortic, pulmonic, tricuspid, and mitral areas for 15-30 seconds until a green light is displayed indicating that useful sound has been recorded. The recording is then uploaded by the device using wi-fi to the AI program for analysis. It does not carry patient identifiers. The device then indicates whether a clinically significant heart murmur was heard, and if so in which recording.
Sponsors
Corewell Health South
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE
Intervention model description
Use of the Eko device
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Chief complaint of chest pain, shortness of breath, difficulty breathing, or syncope/near-syncope. * Patients with chief complaint of Weakness would be eligible if over the age of 50 and have a history of at least two of hypertension, BMI\>/= 30, diabetes, hyperlipidemia, atrial fibrillation, heart attack, stroke/Transient ischemic attack, prior cardiac surgery or angiography
Exclusion criteria
* Contact isolation patients * Pediatric patients under the age of 18
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Number of new clinically significant heart murmurs detected | through study completion, an average of 90 days |
Secondary
| Measure | Time frame |
|---|---|
| Number of echocardiograms ordered | through study completion, an average of 90 days |
Countries
United States
Contacts
CONTACTMonique Luna, MS
Outcome results
None listed