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EKO SENSORA: Detecting Clinically Significant Murmurs — EkoNM  

Heart Murmurs Clinical Trial

Official title:
EKO SENSORA: Detecting Clinically Significant Murmurs

Clinical Trial 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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06155643
Study type Interventional
Source Spectrum Health - Lakeland
Contact Monique Luna, MS
Phone 2699838679
Email monique.allen@corewellhealth.org
Status Recruiting
Phase Early Phase 1
Start date October 26, 2023
Completion date May 30, 2024
View Details
See also
  Status Clinical Trial Phase
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Not yet recruiting NCT05987670 - Triple Cardiovascular Disease Detection With an Artificial Intelligence-enabled Stethoscope N/A
Completed NCT02105480 - Automated Algorithm Based Analysis of Phonocardiograms of Newborns
Completed NCT02512341 - Automatic Differentiation of Innocent and Pathologic Murmurs in Pediatrics
Not yet recruiting NCT04306991 - Modifications of Heart Murmurs and Cardiac Output During Fever N/A
Recruiting NCT05176899 - Real-World Evaluation of Eko Murmur Analysis Software in a Point of Care Setting
Completed NCT04400513 - Development of an Algorithm to Differentiate Heart Murmurs Using Electronic Stethoscopes
Completed NCT03227848 - eMurmur ID - Clinical Performance Evaluation
Completed NCT03501836 - Wireless Handheld 8-lead ECG Device Performance in Heart Patients (Rapid Rhythm) N/A
Completed NCT03458806 - Phono- and Electrocardiogram Assisted Detection of Valvular Disease
Completed NCT00564122 - The Accuracy of an Artificially-intelligent Stethoscope N/A
Enrolling by invitation NCT06070298 - Can a Smartphone Listen to Your Heart? A Performance Study on Detecting Abnormalities in Your Heart Sounds
Withdrawn NCT04024566 - Rapid Non-invasive Detection of Aortic Stenosis
Recruiting NCT05459545 - Real-World Evaluation of Eko Algorithms in a Point of Care Setting