AI4CMR
Overview
AI4CMR by AI4MedImaging Medical Solutions is a cloud-native, Software as a Medical Device (SaMD) designed to automate and standardize the post-processing analysis of Cardiac Magnetic Resonance (CMR) imaging. The platform is built for cardiologists, radiologists, and imaging technicians working in hospitals, multi-site clinical networks, and specialized imaging centers.
The software integrates directly into existing clinical workflows by connecting with hospital Picture Archiving and Communication Systems (PACS), Vendor Neutral Archives (VNA), Radiology Information Systems (RIS), and Electronic Health Records (EHR) using standard DICOM, HL7, and FHIR protocols. Once a cardiac MRI study is acquired, the platform automatically retrieves the images, processes them in real time using artificial intelligence models, and delivers structured, editable results directly to a web browser.
Notable capabilities of AI4CMR include:
- Automated Segmentation: Performs fully automated segmentation of the left and right ventricles to quantify key cardiac volumes, including end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF), and myocardial mass.
- Tissue Characterization: Supports the analysis of tissue characteristics, including T1/T2 mapping, extracellular volume (ECV) fraction, and perfusion.
- Wall Motion Evaluation: Assists in the classification of normal and suspicious ventricular wall motion cases.
- Web-Based Collaboration: Offers multi-user access with role-based permissions, enabling cross-departmental and cross-site collaboration without requiring local software installations.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automatic segmentation of left and right ventricles for volume quantification
- Classification of normal and suspicious wall motion cases
- Compatibility with various MRI manufacturers (Siemens, GE, Philips, Canon)
- Cloud-based service for high availability, scalability, and reliability
- Interoperability with existing systems via DICOM, HL7, and FHIR
- Real-time processing and delivery of structured, editable results
- Zero-click AI capabilities for automated analysis
- Automated analytical flow quantification
- Reduced reporting time (results within minutes)
- Healthcare-grade security with end-to-end encryption and role-based access control
Use Cases
- Streamlining Cardiac Magnetic Resonance (CMR) clinical workflows
- Automating interpretation of cardiac MRI images
- Quantifying ventricular function and analyzing tissue characteristics (T1/T2 mapping, perfusion)
- Supporting diagnosis of cardiac diseases (e.g., cardiac failure, ischemic heart disease, cardiomyopathy)
- Enhancing diagnostic capabilities for cardiac amyloidosis (CA)
- Accelerating imaging-based endpoints in clinical research for CROs
What Physicians Need to Know
AI4CMR is an invaluable tool for streamlining Cardiac MRI analysis, significantly reducing reporting times from over an hour to minutes while maintaining high accuracy. Physicians should leverage its automated segmentation and quantification capabilities for left and right ventricular function, and utilize the wall motion classification for quick identification of suspicious cases. Remember that while AI4CMR provides expert-level measurements and classifications, the results are intended as a support tool and should always be reviewed, adjusted, and validated by a qualified medical professional for final clinical decision-making. Its cloud-based accessibility allows for flexible reporting from any location, enhancing collaboration and efficiency in cardiology departments and imaging centers.
AI4CMR is designed for zero-friction adoption, integrating effortlessly into any hospital IT ecosystem. It supports direct integration with existing PACS, RIS, and EHR systems via standard protocols including DICOM, HL7, and FHIR, ensuring smooth data flow and eliminating the need for manual data entry. The platform is vendor-neutral, compatible with various MRI manufacturers, and operates as a cloud-hosted service, removing the need for dedicated on-premise hardware or software. It functions in association with third-party DICOM viewers, where the viewer often serves as the user interface.
Details
| Category | Cardiology AI |
| Pricing |
Paid
|
| Deployment | Cloud-native; cloud-hosted service; integrates with existing PACS, RIS, and EHR systems; lightweight gateway for local connectivity |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated AI4CMR holds FDA 510(k) clearance for clinical use in the United States (K220624 for v1.0 and K252084 for v2.0). It is designed to report cardiac function measurements from 1.5T and 3T MR scanners, with results not intended for stand-alone clinical decision-making. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Radiology |
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AI4CMR - AI for Medical Imaging
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