AI Predicts Stroke Outcomes Using Open-Source LLMs and Clinical Notes

This research explores the application of Chain-of-Thought prompting with open-source large language models for predicting stroke outcomes. The use of clinical notes as input data is a significant area of focus, highlighting the potential for real-world medical applications.

• •Leverages open-source LLMs.
• •Applies Chain-of-Thought prompting.
• •Uses clinical notes for prediction.