Project Description
This project aims to develop an AI-based predictor for knee surgery outcomes. The tool will use patient data to forecast recovery times and potential complications.
Objectives
- Develop a machine learning model.
- Collect and analyze patient data.
- Validate the model with clinical trials.
Methodology
The project will use supervised learning techniques and a dataset of 17,000 knee surgery cases.