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SFM-Angio-Vision-Assist
Vision Assist
Architecture Overview
Multimodal visual reasoning model for Cath Lab environments. Quantifies plaque burden and stenosis severity in real-time during fluoroscopy.
Context Length
2048 frames
Training Corpus
500k fluoroscopy sequences
Inference Demo
terminal — bash — 80x24
# SereneAI Clinical API Simulator
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Hardware Requirements
- Minimum VRAM 16GB
- Recommended NVIDIA A10G
- Quantization INT8 / FP16