AI in Medicine

Over the last decade, Artificial Intelligence (AI) and Machine Learning (ML) techniques have led to significant advances across many areas of society. Recently, deep learning has emerged as a particularly powerful approach for solving different tasks across many application domains, including in medicine and healthcare. This talk focused on discussing the potential for AI for the personalised diagnosis and prognosis of diseases as well as the prediction of treatment response. In particular, Prof. Dr. Rückert showed how AI has already transformed the acquisition, analysis and interpretation of radiological images and how large-scale AI models (so-called foundation models or large language models) can also transform other areas in medicine and healthcare. Furthermore, it was discussed how AI solutions can preserve privacy while also providing trustworthy and explainable solutions for clinicians.