Advanced Topics in AI for Medicine

This course will offer an exploration of the integration of artificial intelligence (AI) and machine learning (ML) methodologies in healthcare and medicine. Through individual research work, students will have an opportunity to address topics, examining the use of AI in medical diagnosis, treatment, and patient management. Specifically, students will investigate the application of deep learning techniques in analyzing medical imaging data, the development of predictive models for personalized treatment strategies, and the utilization of natural language processing algorithms for extracting valuable insights from clinical text repositories. The examples of such AI applications include existing applications in cardiology, focusing on the development of predictive models for early detection of cardiac diseases and risk stratification of patients; and applications in the intersection of AI and neurodegenerative diseases, particularly Parkinson's and Alzheimer's, investigating the potential of AI-driven approaches in early detection and disease progression monitoring through analysis of biomarkers, neuroimaging data, and patient records. The goal of the course would be to enable PhD students develop their research skills in an actual and particular research areas, while also meaningfully contributing to the ongoing advancement of this interdisciplinary field.