Dyad Medical develops software that employs image analysis algorithms to automatically assess cardiac and cardiovascular imaging data. This technology improves diagnostic accuracy and reduces interpretation time for healthcare providers, enhancing patient care efficiency.
Funding
$3.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Cardiac image analysis is often performed manually, which is time-consuming and can lead to inconsistencies in interpretation. Subjectivity in assessing myocardial function and variations in operator skill levels can impact diagnostic accuracy and treatment decisions.
Solution
Dyad Medical offers the Libby® Platform, a cloud-based AI solution designed to automate and enhance cardiac image analysis and interpretation. The platform integrates into existing clinical workflows, providing clinicians with a consistent and objective second opinion. By applying deep learning algorithms to echocardiograms, cardiac MRIs, IVOCT, and CT scans, the Libby® Platform quantifies cardiac function, reduces misdiagnosis, and supports treatment decision-making. The platform aims to improve diagnostic accuracy, reduce interpretation time, and provide universal access to expert-level analysis, regardless of clinician skill level or location.
Target Audience
The primary target audience includes cardiologists, imaging operators, and clinical researchers seeking to improve the accuracy and efficiency of cardiac image analysis for enhanced patient care.
Features
- AI-powered analysis of echocardiogram videos and still images for anatomic and physiologic assessment
- Cardiac MRI analysis for full heart characterization
- IVOCT analysis for plaque content and stent deployment quality assessment (FDA Cleared)
- CT analysis for automated valve sizing for percutaneous aortic valve replacement
- Cloud-based platform accessible from any device, facilitating remote access and collaboration
- Consistent performance across various imaging platforms
- Seamless integration into existing clinical workflows