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LoRA adapter for MedGemma-27B fine-tuned on inpatient post-surgical triage and deterioration detection.
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## Model Description
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This is a LoRA (Low-Rank Adaptation) adapter trained on top of Google's MedGemma-27B-text-it model for autonomous surgical triage in the inpatient setting (post-operative days 0-5). The model performs three-way classification of surgical patients into:
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LoRA adapter for MedGemma-27B fine-tuned on inpatient post-surgical triage and deterioration detection.
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> [!WARNING]
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> **Live Demo URL Update:** The original Azure URL submitted (`https://surgicalcopilot-app.azurewebsites.net/`) is currently unavailable due to an unexpected Microsoft Azure account freeze. We have migrated the frontend to Vercel so the application can still be evaluated.
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> **[🌐 Working Live Demo (Vercel)](https://surgical-copilot.vercel.app/)**
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## Model Description
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This is a LoRA (Low-Rank Adaptation) adapter trained on top of Google's MedGemma-27B-text-it model for autonomous surgical triage in the inpatient setting (post-operative days 0-5). The model performs three-way classification of surgical patients into:
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