Content: The seminar focuses on AI-based methods applicable for medical data. These methods must fulfill the robustness and accuracy requirements of up-to-date medical data processing algorithms.
Trends in AI-based medical data processing should be researched with current literature (conference proceedings and journals). The seminar addresses students in the field of Computer Vision and Natural Language Processing. It will be held like a conference so that the students get to know the typical procedure of a scientific conference. Subsequent, some high-level example literature:
Medical Deep Learning - A systematic Meta-Review:
https://www.sciencedirect.com/science/article/pii/S0169260722002565?via%3Dihub
ChatGPT in Healthcare: A Taxonomy and Systematic Review:
https://www.medrxiv.org/content/10.1101/2023.03.30.23287899v1
Beyond Medical Imaging - A Review of Multimodal Deep Learning in Radiology:
https://dx.doi.org/10.36227/techrxiv.19103432.v1
Objective: After having attended the seminar, the students have knowledge of demands and methods in AI-based medical data processing, including medical images, but also medical texts
Workload for Students: Regular attendance and discussion during the seminar, and giving an oral presentation during the semester. |
