Eko Devices, Inc.
21
8
9
9
Key Highlights
Risk & Performance
Pipeline Risk Assessment
Pipeline Risk Assessment
Based on historical performance
High Risk
Score: 60/100
14.3%
3 terminated/withdrawn out of 21 trials
75.0%
-11.5% vs industry average
0%
0 trials in Phase 3/4
0%
0 of 9 completed trials have results
Key Signals
Enrollment Performance
Analytics
Activity Timeline
Global Presence
Clinical Trials (21)
Improvement of an Algorithm to Detect Structural Heart Murmurs in Adult Patients Using Electronic Stethoscopes
Role: lead
Deep Learning Detection of Pulmonary Hypertension and Low Ejection Fraction Via Digital Stethoscope and 3-Lead ECG
Role: lead
Development of an Algorithm to Detect Pulmonary Hypertension Using an Electronic Stethoscope
Role: lead
Detecting Pulmonary Hypertension With the Eko CORE 500 Digital Stethoscope
Role: lead
Data Collection For Adventitious Lung Sounds Algorithm Using Eko Digital Devices in a Clinical Setting
Role: lead
Data Collection Using Eko Digital Devices in a Clinical Setting
Role: lead
Effectiveness of the Eko Digital Stethoscope in Capturing Infant ECGs
Role: collaborator
Detection of Reduced Left Ventricular Ejection Fraction With Three-Lead ECG Using Artificial Intelligence
Role: lead
Data Collection Using Eko Devices in a Clinical Setting
Role: lead
Dialysis Access Monitoring Using a Digital Stethoscope-Based Deep Learning System
Role: lead
Heart Failure Monitoring With Eko Electronic Stethoscopes (CardioMEMS)
Role: lead
Blue Protocol and Eko Artificial Intelligence Are Best (BEA-BEST)
Role: collaborator
Real-World Evaluation of Eko Algorithms in a Point of Care Setting
Role: lead
Real-World Evaluation of Eko Murmur Analysis Software in a Point of Care Setting
Role: lead
Development of an Algorithm to Differentiate Heart Murmurs Using Electronic Stethoscopes
Role: lead
Low Ejection Fraction in Single Lead ECG- Ochsner
Role: lead
Detection of Heart Conditions With Single Lead ECG Using Artificial Intelligence
Role: lead
Low Ejection Fraction in Single Lead ECG
Role: lead
Detection of Heart Conditions Using Artificial Intelligence
Role: lead
Phono- and Electrocardiogram Assisted Detection of Valvular Disease
Role: collaborator