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kgupta21
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Update Space configuration to minimal version
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README.md
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---
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title:
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emoji: 🏥
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colorFrom: blue
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colorTo: indigo
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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---
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# Radiology Report Training System
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A Gradio app for teaching radiology residents and medical students how to read and report chest X-rays. This app uses the MIMIC-CXR dataset and DeepSeek's LLM for report analysis and feedback.
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## Features
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- View chest X-ray images with zoom functionality
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- Input findings through typing or dictation
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- Compare against ground truth findings and impressions
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- Get AI-powered feedback on your report quality
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- Hide ground truth for self-testing
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- Support for both dataset images and custom uploads
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## How to Use
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1. Enter your DeepSeek API key in the provided input box
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2. Click "Load Random Case" to get a new chest X-ray
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3. Study the image and write your findings in the input box
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4. Click "Submit Report" to get feedback
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5. Use the "Hide Ground Truth" checkbox to test yourself
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## Dataset
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This app uses the [MIMIC-CXR dataset](https://huggingface.co/datasets/itsanmolgupta/mimic-cxr-dataset) (limited to 10 cases for this MVP version).
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## Technical Details
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- Built with Gradio
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- Uses DeepSeek's LLM for report analysis
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- Supports image upload and clipboard paste
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- Provides zoom functionality for detailed image examination
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## Requirements
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See requirements.txt for full dependencies.
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title: TeachingFiles
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emoji: 🏥
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colorFrom: blue
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colorTo: indigo
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sdk: gradio
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sdk_version: 4.16.0
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app_file: app.py
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pinned: false
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