Deep Learning

Master-Seminar: Multi-modal AI for Medicine (IN2107)

This year’s seminar will look at aspects of multi-modal machine learning in medicine and healthcare, focusing on: Vision language models (VLMs) for medical and healthcare applications Generic multi-modal AI models utilising imaging data, clinical reports, lab test results, electronic health records, and genomics Foundation models for multi-modal medicine Objectives: At the end of the module students should have:

Practical Course: Applied Deep Learning in Medicine

In this course students are given the chance to apply their abilities and knowledge in deep learning to real-world medical data. Students will be assigned a medical dataset and in close consultation with medical doctors create a project plan.