Duplicate from milosvuk/echogemma

Co-authored-by: Milos Vukadinovic <milosvuk@users.noreply.huggingface.co>

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README.md

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+---
+license: apache-2.0
+tags:
+- echocardiography
+- medical
+- report-generation
+- multimodal
+- cardiology
+- ultrasound
+library_name: pytorch
+pipeline_tag: text-generation
+base_model: google/medgemma-1.5-4b-it
+---
+
+# EchoGemma
+
+Multimodal echocardiography report generation from DICOM studies. EchoGemma combines an **EchoPrime video encoder** and a **LoRA-fine-tuned MedGemma language model** to process full echocardiographic studies and generate clinical text reports.
+
+
+## Input
+
+A folder of DICOM echocardiography video files (a complete study). The model processes all video clips, extracts embeddings and view classifications, then generates a structured clinical report.
+
+## Output
+
+A structured echocardiography text report.
+
+## Requirements
+
+- Python >= 3.10
+- PyTorch 2.10+
+- CUDA-capable GPU (recommended)
+- ~18 GB disk space for model weights

echogemma.pt

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