Eko Devices, Inc.
21
9
10
9
Key Highlights
Risk & Performance
Pipeline Risk Assessment
Pipeline Risk Assessment
Based on historical performance
High Risk
Score: 60/100
9.5%
2 terminated/withdrawn out of 21 trials
81.8%
-4.7% 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)
Effectiveness of the Eko Digital Stethoscope in Capturing Infant ECGs
Role: collaborator
Data Collection For Adventitious Lung Sounds Algorithm Using Eko Digital Devices in a Clinical Setting
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 Using Eko Devices in a Clinical Setting
Role: lead
Detection of Reduced Left Ventricular Ejection Fraction With Three-Lead ECG Using Artificial Intelligence
Role: lead
Data Collection Using Eko Digital Devices in a Clinical Setting
Role: lead
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
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