MyCardium AI provides FDA-cleared and CE-marked artificial intelligence software for cardiac MRI and echocardiography analysis, automating over 100 validated measurements to accelerate clinical workflows. Its human-in-the-loop platform, including EchoConfidence and 1CMR Pro, supports hospitals and core labs with batch processing, serial scan comparison, and seamless PACS/EHR integration. The company also operates a medical imaging core lab supporting Phase I-IV clinical trials globally.
Funding
Funding not disclosed
Founders
Product
Problem
Cardiac imaging analysis is time-consuming and prone to variability, with rising demand for echocardiography and MRI outpacing workforce capacity. Clinicians face pressure from complex scans, limited staffing, and the need to track disease progression through serial imaging, while hospitals and core labs struggle to standardize measurements across operators and sites for reproducible, clinically reliable results.
Solution
MyCardium AI provides FDA 510(k)-cleared and CE Class IIb-marked artificial intelligence software for cardiac MRI and echocardiography analysis. The platform, including EchoConfidence and 1CMR Pro, uses fixed convolutional neural networks trained on over 100,000 images to deliver more than 100 validated measurements of cardiac structures. A human-in-the-loop interface allows clinicians to review, refine, and approve AI-generated contours and measurements, balancing automation with expert oversight. The software supports batch analysis, serial scan comparison, and integrates with existing hospital systems such as PACS and EHR, while remaining vendor-neutral across imaging devices and clinical settings.
Target Audience
Primary customers are hospitals, cardiology departments, and medical imaging core labs serving pharmaceutical sponsors, CROs, and academic institutions conducting Phase I-IV clinical trials.
Features
- Automated AI measurement of over 98% of echo parameters with more than 100 validated cardiac measurements covering chambers, valves, vessels, and pericardium
- Human-in-the-loop interface enabling review, refinement, and approval of AI-generated measurements, contours, and fiducial points
- Multi-beat averaging for improved precision, with mean values and normal ranges displayed during scanning
- Serial scan comparison tools (Cadence) for visualizing changes over time to support longitudinal patient management and clinical trials
- Batch mode analysis (Magiquant) for streamlined processing of large datasets in core lab and research settings
- Fixed CNN architecture that does not learn from user data, ensuring patient privacy and data security
- Vendor-neutral compatibility with any transducer, tablet-based devices, and seamless PACS/EHR integration
- Explainable AI with transparent decision-making processes and over 95% accuracy across 23 automatic view classifications