Seminar · Medical Faculty · Winter 2025/26
Artificial Intelligence in Radiology: Applications and Research
A special joint seminar between the University of Bonn and the German University in Cairo (GUC), delivered under the Joint Teaching Initiative. This interdisciplinary course explores AI in Radiology from both technical and clinical perspectives, combining computational medical imaging and deep learning to foster cross-cultural collaboration, innovation, and sustainable academic exchange.
Special Version: AI in Radiology – From Pixels to Decisions (AiR-GUC Edition)
- Coordinators: Prof. Dr. Shadi Albarqouni (University of Bonn), Dr. Mohammed Salem & Dr. Shereen Moataz Afifi (German University in Cairo)
- Tutors: Adea Nesturi
- Duration: October 23, 2025 – February 5, 2026 (every Thursday, 09:00 AM - 11:00 AM)
- Format: Blended Seminar + Project-based Collaboration
- Credits: 4 CP (Bonn) / Elective (GUC)
- Language: English
Course Overview
Artificial Intelligence (AI) is rapidly transforming medical imaging, enhancing clinical workflows and diagnostic accuracy. This special edition of the AiR seminar, titled “AI in Radiology – From Pixels to Decisions,” bridges technical and medical perspectives, offering students a deep dive into the theoretical foundations, applications, and challenges of AI in Radiology.
This joint course brings together:
- Medical students from the University of Bonn
- Computer Science students from the German University in Cairo (GUC)
It is jointly funded under the Joint Teaching Initiative and aims to foster international collaboration, interdisciplinary teamwork, and cross-cultural learning through guided lectures, interactive sessions, and project-based research.
Learning Objectives
By the end of this course, students will:
- Understand fundamental and advanced AI methods applied to medical imaging.
- Analyze academic research papers and translate ideas into practical mini-projects.
- Collaborate across disciplines to integrate technical and clinical insights.
- Present and communicate interdisciplinary work effectively.
- Develop sustainable academic and cultural connections between Germany and Egypt.
Teaching & Learning Format
- Hybrid sessions: alternating between live online sessions and optional in-person meetings.
- Group projects: each team (2 GUC CS students + 1 Uni Bonn medical student) develops an interdisciplinary mini-project throughout the semester.
- Guest lectures: experts from Germany and Egypt provide advanced insights into AI in healthcare.
- Final presentations: joint session showcasing team results and reflections.
Seminar Schedule (Winter 2025/26)
| Date | Topic | Description | Presenter | Key References / Materials |
|---|---|---|---|---|
| 23 Oct 2025 | Kick-off & Orientation | Introduction to the seminar, course goals, and project assignments. | Course Team | — |
| 30 Oct 2025 | Foundations of Deep Learning | Overview of deep learning architectures for image analysis. | ||
| 06 Nov 2025 | Detection & Classification in Medical Imaging | Exploring how deep learning identifies and classifies medical abnormalities. | ||
| 13 Nov 2025 | Segmentation in Medical Imaging | Methods for delineating anatomical structures and lesions. | ||
| 20 Nov 2025 | Bias and Causality in AI Models | Understanding dataset bias and causal reasoning in medical AI. | Castro et al., Nat Commun 11 (2020); | |
| 27 Nov 2025 | Uncertainty Quantification | Quantifying uncertainty and improving trust in AI models. | Huang et al., Med Image Anal (2024). | |
| 04 Dec 2025 | Foundation Models & Vision-Language Systems | Exploring transformers and multimodal AI in radiology. | ||
| 11 Dec 2025 | Ethics & Regulatory Aspects | Legal, ethical, and social challenges of deploying AI in healthcare. | Topol, E. Nature Medicine 25 (2019). | |
| 18 Dec 2025 | Midterm Checkpoint & Group Feedback | Group progress presentations and instructor consultation. | All Teams | — |
| 08 Jan 2026 | Guest Talks (Germany–Egypt) | Expert talks on AI applications in clinical and technical domains. | Invited Speakers | — |
| 15 Jan 2026 | Student Project Presentations I | Group project presentations (part 1). | Teams | — |
| 22 Jan 2026 | Student Project Presentations II | Group project presentations (part 2). | Teams | — |
| 05 Feb 2026 | Joint Closing & Reflection | Course wrap-up, cross-cultural discussion, and feedback. | Course Team | — |
Grading & Evaluation
- GUC Students: Elective course – 100% coursework-based (project & presentation).
- Uni Bonn Students: Non-graded seminar – certificate of completion based on attendance, participation, and project contribution.
Collaboration Framework
This seminar is part of the GUC–Uni Bonn Joint Teaching Collaboration, coordinated by:
- University of Bonn: Prof. Dr. Shadi Albarqouni
- German University in Cairo: Dr. Mohammed Salem, Dr. Shereen Moataz Afifi
Supported by the Joint Teaching Program, this course aims to build sustainable academic bridges between Germany and Egypt.
Contact
University of Bonn
Prof. Dr. Shadi Albarqouni – Clinic for Diagnostic and Interventional Radiology, UKB
German University in Cairo (GUC)
Dr. Mohammed Salem, Dr. Shereen Moataz Afifi