Generative AI in medicine

Day 1 – Fundamentals (live online):

• How generative AI works: LLMs, diffusion models, multimodal models
• Tool landscape 2026: local open-source tools (Ollama, Open-WebUI, ComfyUI) vs. commercial providers
• Gold standards for AI deployment: tool selection and data classification, prompt engineering, output validation, documentation, compliance (EU AI Act), reproducibility
• Hands-on: Working with local language models (Open-WebUI) using examples from everyday clinical and teaching practice

Day 2 – In-depth medical applications (live online):

• GenAI application areas in medicine: teaching and educational materials, diagnostic evaluation, decision support, research, radiology, documentation
• Live demo of a complete pipeline for creating teaching materials (ComfyUI + Flux + medical LoRAs, image-to-3D)
• Gold Standards for Medical AI: MDR classification, patient data protection (GDPR Art. 9), human-in-the-loop, audit trail
• Hands-on: create your own educational images on a topic of your choice
• Final quiz and certificate; introductory tutorial video provided afterwards as a digital handout for further study

After the event, participants will be able to:

• explain how LLMs, diffusion models and multimodal models work
• understand the tool landscape and select tools appropriate to the data class (in compliance with data protection regulations)
• write structured prompts and systematically validate AI outputs
• create their own teaching and educational materials using local open-source tools (Open-WebUI, ComfyUI/Flux)
• understand the MDR classification and the EU AI Act as they apply to medical AI applications
• apply the gold standards for medical AI within their own working context

The certificate also attests to AI competence in accordance with Article 4 of the EU AI Act.

This continuing professional development programme is aimed at medical educators – in particular professors and lecturers in medical education – who wish to use generative AI to create teaching, illustrative and educational materials. It is also aimed at doctors, healthcare professionals (e.g. medical assistants) and staff working in research and medical technology who wish to integrate AI tools into their day-to-day work in a manner that complies with data protection regulations and meets regulatory requirements.

Prerequisites

Admission to a face-to-face course generally requires a university degree or vocational training in a relevant profession, as well as at least one year’s professional experience.

The workshop takes place over two consecutive half-days online and combines concise expert presentations with live demonstrations and practical hands-on exercises. After learning the basics of generative AI and relevant open-source tools, participants will explore their practical application through medical case studies and create their own teaching and visual materials. The workshop concludes with a multiple-choice quiz leading to a certificate, as well as a digital learning video for further study.

If you pass the final quiz (you must answer at least 11 out of 15 questions correctly), you will receive a certificate from Furtwangen University. This certificate attests to your AI competence in accordance with Article 4 of the EU AI Act.

External link opens in a new window:Dimitri Schultheis, Dipl.-Ing.

Member of academic staff in AuToS project

Please register by email at: Email application is started:hfu-akademie[at]hs-furtwangen.de

When registering, please provide your full name and date of birth so that we have all the information needed to issue your certificate of participation.