Artificial Intelligence for Digital Health

This course provides a comprehensive foundation in machine learning (ML) and deep learning (DL), focusing on their practical applications in healthcare. Students will gain proficiency in key programming libraries and explore how AI methodologies can be leveraged for patient and risk stratification, disease prediction, and modeling disease progression.

Special attention is given to the unique challenges of working with health data, including physiological time-series, clinical text, and medical imaging. Through hands-on lab sessions, students will implement and analyze models for supervised prediction, clinical text processing, interpretability analysis, and causal inference in healthcare contexts. This course equips students with the essential skills and insights needed to harness ML/DL technologies for transformative healthcare solutions.