CCD
Verified Safeby X-iZhang
Overview
Mitigates medical hallucinations in radiology Multimodal Large Language Models (MLLMs) by integrating structured clinical signals from task-specific radiology expert models during inference.
Installation
python -m ccd.appEnvironment Variables
- HF_TOKEN
- HF_HUB_TOKEN
Security Notes
The project uses standard, well-regarded libraries (HuggingFace Transformers, TorchXRayVision) for ML model loading and inference. No direct 'eval' on user input or hardcoded secrets were identified. The Gradio demo is launched with `share=True`, which creates a public URL for access; users should be aware that outputs on a shared link are publicly accessible and usage is for research/demonstration only, as stated in the explicit terms of use.
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