AI Clinical Note for Microsoft AI Hackathon 2024

The project is coded 45% faster with Github Copilot extension on VSCode

This application, coded in Python with Tkinter for the GUI, appears to be an interface named "AI Clinical". The key features and functionalities are as follows:

• Login System: It has a simple login system where users can enter a username and password. The login is verified against preset credentials (in this case, 'admin' and 'password'). After successful login, the user is directed to the main window of the application.

• File Upload and Display: Users can upload a file, likely of a consult note, lab results. The uploaded file is then displayed in the GUI.

• File Analysis: The core feature of the application is analyzing the uploaded file to interpret the lab report together with the voice note and chest x-ray. It uses a generative AI model from OpenAI (OpenAI GPT-4) to process the file and extract text information.

• Data Visualization: After analysis, the application generates a summary of the studies, as well as highlighting important details that might be of concern.

• Download interpreted lab reports: The user has option to download lab reports with AI-generated notes.

• Interactive GUI Components: The GUI includes interactive elements like buttons for uploading files, analyzing them, and closing the application. These buttons change color when hovered over, enhancing user experience.

To run this project, you will need to add the following environment variables to your .env file

OPENAI_API_TYPE

OPENAI_API_VERSION

OPENAI_API_BASE

OPENAI_API_KEY

OPENAI_DEPLOYMENT_ID

Install the required packages using pip

pip install -r requirements.txt

Once the environment variables setup, the file may be ran using

python app-poc-lab-interpreter.py

Upload "Visit_05-04-2024" subdirectory in the data directory for testing.

Apache-2.0