Python for Health AI

Course Code: 
HINF 5026
Course Director: 
Chengxi Zang, PhD
Credits: 
3
Course Description: 

Course Director: Chengxi Zang, PhD

The course “Python for Health AI” is designed for advanced students and clinicians seeking to develop programming expertise in healthcare applications. This course provides hands-on experience with Python, Pytorch, data science/machine learning libraries, LLM and agents techniques, focusing on real-world health data, including EHRs, medical imaging, and clinical text. Participants will explore AI models for disease prediction, causal inference, and natural language processing etc. The course emphasizes practical implementation, from preprocessing messy health data to deploying AI models in clinical settings. Capstone projects will apply AI to real-world health challenges.

Course Term: 
Spring Term