EchoCLIP-Cardiac: EchoCLIP: Multi-Modal Contrastive Vision-Language Pre-Training for Automated Echocardiography & Valve Quantification
EchoCLIP-Cardiac is an open-source clinical AI foundation model engineered for Cardiovascular Medicine and Cardiovascular Ultrasound / Video applications.
Key Features
- Architecture: Domain-hardened neural network optimized for offline hospital edge inference.
- License: Apache 2.0 Open Source.
- Benchmarks: Validated against EchoNet-Dynamic, Stanford Echo-CLIP Benchmark, CAMUS Dataset.
- Repository: https://github.com/OpenPHRorg/echoclip-cardiac
Verification & Deployment
Available for air-gapped deployment in hospital IT environments, clinical research laboratories, and healthcare edge devices.