Medical Image In-Context Learning (ICL) with GPT-4V

General Setup Instructions

Please follow the steps below:

Python Installation: Install Python from source. We used Python 3.11.6 throughout this project.
Dependency Installation: Install necessary dependencies:
```
pip install -r requirements.txt
```

Data Preparation

Place your dataset PDF files in accessible paths in the Data folder with a subfolder per entity.

Scripts

Document comparison (GPT-4 + RAG)

Modify the configuration .yaml file. Set a variable documents_dir and the required topics. Modify any other hyperparameters, like model or document split sizes as wished.

Usage

Run the compare_batch.py script from the command line by specifying the path to your MIMIC ground truth data:

python3 compare_batch.py

You could also overwrite command line arguments here.

Naive GPT-4

Configurations are loaded from the same .yaml file. If you wish to ask GPT-4 other questions, modify the topics list.

python3 naive_gpt4.py

Retrieval evaluation

Set the .json paths inside the evaluations.py file and run:

python3 evaluations.py

Dyke-F/RAG_Medical_Guidelines