Hajira Jabeen (PhD)

[Diese Lehrveranstaltung wird nur auf Englisch angeboten] Each week, we review and discuss a recent research paper on Large Language Models (LLMs), with a focus on practical applications such as Retrieval-Augmented Generation (RAG) and LLM evaluation. The selected papers are drawn from top-tier conferences, including NAACL, ICML, and NeurIPS, ensuring exposure to cutting-edge developments in the field.

Artificial intelligence is already fundamentally changing medicine, but how do the underlying methods work, and what opportunities and challenges do they present? In this series of seminars, each session will cover a new, practical topic, including the basics of some AI methods, ethical challenges and possible solutions. The lectures, depending on the speaker, could be in German or English, are thematically linked but self-contained

[Der Kurs wird nur in Englisch abgehalten] This course provides a structured introduction to deep learning with a focus on medical applications. It begins by clarifying key concepts in artificial intelligence, machine learning, and deep learning, emphasizing their relevance in modern medicine. Students will explore the basic structure of neural networks and understand how models are trained and evaluated. The course then introduces convolutional neural networks (CNNs)followed by an overview of transformers and foundational models used for analyzing clinical text, genomics, and multimodal data. Real-world case studies and clinical examples illustrate how deep learning is applied across radiology, pathology, dermatology, and beyond. The final sessions explore challenges in deploying AI in clinical settings, including issues of bias, explainability, and ethical use. Optional components may include hands-on demonstrations or guided review of influential research papers in the field.