AI - Out of the Box

• Understand foundational AI concepts relevant to medical imaging.
• Analyse the potential and limitations of AI in clinical radiography.
• Develop practical skills for using AI tools and software in radiographic procedures.
• Evaluate ethical considerations, regulatory compliance, and implications of AI in medical imaging practice.
• Explore advanced imaging techniques such as 3D printing and segmentation as bridges to AI.
• Recognize radiographers’ critical roles in AI integration, image acquisition, data quality, and accurate labelling.

• BIP validation will be done through group presentations, followed up by a Q&A session from the jury. This process will valid 3 ECTS credits.

The “Module introduction” session on Monday, the 15th of June 2026 is mandatory and will give you an insight into the coming two weeks. The online sessions on Tuesday until Thursday should also be attended for you to be able to complete the guided self-learning phases. The online sessions will be recorded, so in case you miss a session you will be able to re-watch them on your own time. Please set aside 2.5 - 3 hours per day (in addition to the online sessions) to complete the guided self-learning phases. All course content and self-learning phases will be available on our Virtual Learning Environment (Moodle).

• Escola Superior de Saúde da Cruz Vermelha Portuguesa (PT)
• Escola Superior de Saúde do Politécnico do Porto (PT)
• Université du Luxembourg (LU)
• Hochschule Campus Wien (AT)

Number of students per institutions: ~3 (between 2 and 4).

The funding will be covered by the Swiss-European Mobility Programme (SEMP): 80.- CHF x 7 days = 580.- (5 days of courses and 2 travelling days).

The lunch will be provided by HESAV: 5 x 15.- CHF = 75.-

Day 1 [Monday – 15.06.26]: Module Introduction and Organization

• BIP’s Kick-off: explanation of program structure and expectations
• Software and technological requirements overview
• Lab work explanation and rationale
• Group presentations and organization of group discussions

Day 2 [Tuesday – 16.06.26]: Introduction to AI in Medical Imaging

• AI fundamentals, Machine Learning, and Deep Learning concepts
• Brief history and evolution of AI applications in medical imaging
• Group Work 1: What would we like to do ? Final Project conceptualization

Day 3 [Wednesday 17.06.26]: Workflow Optimization with AI

• Impact on clinical workflows (acquisition, processing, reporting automation)
• Real-world workflow transformation scenarios in radiography
• Group work 2: Bringing your ideas to real-world scenarios

Day 4 [Thursday 18.06.26]: AI Segmentation, Radiomics and Radiographers' Role

• Segmentation techniques for lesion detection and treatment planning
• Radiomics-based AI for predictive analytics
• Radiographers’ roles: Data acquisition, quality control, labelling accuracy, segmentation
• Group Work 3: Revising your proposition and defining the added value of your proposal

Day 5 [Friday 19.06.26]: Ethical, Legal, and Regulatory Frameworks

• Patient privacy, data security, and ethical implications
• Regulatory considerations: FDA guidelines for AI medical devices
• Group work 4: Project presentation
• In-person organization and schedule discussion

On site session: will take place in HESAV, auditoire 2 FTRM, Bugnon 19.

Monday, 22.06.26: Hands-on Lab – Introduction to AI software

• Guided exercises with AI tools for image acquisition, quality assessment, and enhancement. (Something with Orange Data mining).

Tuesday, 23.06.26: Advanced Lab session

• Using 3D slicer – test AI plug-ins related to medical imaging: AI-assisted image reconstruction, optimization, and artifact reduction.
• Identification and discussion of the process for the development of AI solution and how to participate in such.

Wednesday, 24.06.26: Workshop on Generative AI

• Exploration of generative AI applications in radiography.
• Practical demonstrations, discussions on risks and opportunities for clinical practice.

Thursday, 25.06.26: Industry & Expert speaker sessions

• Industry experts sharing practical insights, latest innovations, and adoption challenges.
• Radiographer-driven research and technology-driven research

Friday, 26.06.26: Collaborative project workshop & Student presentations

• Development of workflow proposals integrating AI solutions.
• Students present their findings and proposals.
• Certificates awarded and program evaluation.