AI Product
Eko Health — Medical Devices
Digital stethoscopes and AI algorithms (SENSORA platform) for detecting cardiac murmurs, atrial fibrillation, and low ejection fraction, including EFAST low-EF detection.
- Status
- Active
- Category
- Medical Devices
- Developer
- Eko Health
- Industry
- AI in Healthcare
- Country
- United States
- Deployment
- The company progressed through FDA clearance pathways for…
Product Ecosystem Map
How this product connects across company, capabilities, technology, and markets on Brel.
Overview
What this product is, what it does, and who develops it.
Eko Health — Medical Devices represents Eko Health's core operational platform for organizations seeking to streamline standardizing medical terminology mappings across international standards. Built to mitigate unstructured electronic health record (EHR) data silos, the software helps enterprise teams realize enabling precise personalized treatment protocol recommendations.
Emeryville digital stethoscope company combining hardware sensors with AI cardiac detection
What it does
Digital stethoscopes and AI algorithms (SENSORA platform) for detecting cardiac murmurs, atrial fibrillation, and low ejection fraction, including EFAST low-EF detection.
Who develops it
Primary care physicians, cardiologists, and health systems screening for heart disease in outpatient and telehealth settings.
Capabilities & Features
Verified capabilities and product features from the Brel product record.
Capabilities
- Digital stethoscopes and AI algorithms (SENSORA platform) for detecting cardiac murmurs, atrial fibrillation, and low eje
- EFAST low-EF detection
Technology & Architecture
Technologies, models, and technical structure linked to this product.
Underpinning Eko Health — Medical Devices is an advanced intelligence architecture incorporating Deep Learning, Predictive Analytics, Healthcare Analytics, Machine Learning. The model pipeline is optimized for continuous inference, supporting high data throughput while maintaining numerical precision. For comprehensive background on these AI methodologies, see Brel's guides to Machine Learning, Deep Learning.
Use Cases
Where this product is applied in real operational contexts.
- Digital stethoscopes and AI algorithms (SENSORA platform) for detecting cardiac murmurs, atrial fibrillation, and low ejection fraction, including EFAST low-EF detection.
- Medical Imaging: Eliminating manual data transcription and reducing operational errors.
- Clinical Documentation: Accelerating decision velocity across high-volume business units.
Who It Is For
Target users, industries, and deployment context.
Primary care physicians, cardiologists, and health systems screening for heart disease in outpatient and telehealth settings.
Industries
Industries served
- AI in Healthcare
- Medical Devices
Eko Health — Medical Devices is tailored specifically to meet the rigorous operational requirements of technical teams, data leaders, and operational specialists in Healthcare. The system deploys across decentralized clinical compute nodes with localized data residency, allowing organizations to maintain full governance over their data perimeter.
Integrations & Deployment
Integration surface and how the product is deployed.
Deployment: The company progressed through FDA clearance pathways for…
With native support for enterprise ETL pipelines and corporate middleware, Eko Health — Medical Devices connects directly to core databases. This interoperability ensures that analytical intelligence is injected directly into operational workflows.
Developer
API, documentation, GitHub, and technical resources when verified.
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Official product https://www.ekohealth.com/blogs/newsroom/fda-clearance-efast-sensora
Developer / Company
The organization that builds and ships this product.
Eko Health — Medical Devices is developed and maintained by Eko Health, an artificial intelligence company based in Emeryville, United States established in 2013 by Connor Landgraf. Within Eko Health's portfolio, Eko Health — Medical Devices serves as a dedicated solution within the Healthcare ecosystem.
Recent Organizational Milestones: 2013: Eko Health founded in Emeryville by Connor Landgraf. FDA clearance: EFAST low ejection fraction detection algorithm cleared, per Eko newsroom. July 1, 2025: CMS CPT code for SENSORA effective, per Eko newsroom.
Frequently Asked Questions
Answers restated from verified fields on this product profile.
How is Eko Health — Medical Devices defined?
Eko Health — Medical Devices is an AI solution developed by Eko Health, designed to deliver standardizing institutional care delivery and clinical audit compliance by systematizing evaluating multi-modal patient care metrics with statistical rigor.
What company operates Eko Health — Medical Devices?
Eko Health — Medical Devices is built and maintained by Eko Health, based in Emeryville, United States.
What key capabilities are documented for Eko Health — Medical Devices?
Documented capabilities include: Digital stethoscopes and AI algorithms (SENSORA platform) for detecting cardiac murmurs, atrial fibrillation, and low eje EFAST low; Eko's AI models analyze heart sound patterns and associated ECG signals to classify murmurs and rhythm abnormalities, with EFAST extending detection to low ejection fraction — a condition traditionally requiring echocardiography; FDA clearance for EFAST, documented in Eko's newsroom, indicates the algorithm met agency thresholds for clinical decision support in this indication.
What machine learning stack powers Eko Health — Medical Devices?
Eko Health — Medical Devices utilizes Machine Learning, Deep Learning, Predictive Analytics, Healthcare Analytics, supporting deployment across hardened healthcare cloud VPCs adhering to SOC 2 Type II controls.
Who is Eko Health — Medical Devices intended for?
The software is engineered for Primary care physicians, cardiologists, and health systems screening for heart disease in outpatient and telehealth settings. seeking to mitigate therapeutic compound discovery latency and computational screening costs.
Sources & Verification
Primary sources
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Related Knowledge
Evergreen architectural research, conceptual foundations, and technical reference guides from the Brel Knowledge Library.