# UroScribe — Fine-tuned Medical Vision-Language Model

A fine-tuned version of [MedGemma-4B](https://huggingface.co/google/medgemma-4b) specialized for automated urology ultrasound report generation.

## Model Description

UroScribe takes a urology ultrasound image as input and generates a structured, clinically formatted radiology report. It was fine-tuned to bridge the gap between raw imaging and the time-consuming process of manual report writing in urology practice.

## Base Model

- **Architecture:** MedGemma-4B (vision-language)
- **Fine-tuning method:** QLoRA (4-bit quantization + LoRA adapters)
- **Training hardware:** NVIDIA H200

## Intended Use

- Automated structured report generation from urology ultrasound images
- Clinical decision support tooling
- Research into medical vision-language models for subspecialty radiology

## Input / Output

**Input:** Urology ultrasound image (PNG)  
**Output:** Structured radiology report including findings, impressions, and recommendations


## Limitations

This model is intended for research and demonstration purposes only. It is not FDA-cleared and should not be used for clinical decision-making without physician oversight.

## Developed By

Built during Hacklytics 2026 by Benito Karkada & Hadi Malik.