1. Understand the fundamentals, applications, benefits, and limitations of AI and Machine Learning in healthcare. 

2. Learn the theory and practice of Machine Learning, Neural Networks, and Large Language Models for healthcare applications. 

3. Evaluate data quality, algorithmic bias, interpretability, and explainability in AI models for healthcare. 

4. Discuss ethical considerations and regulatory requirements for AI in healthcare. 

5. Explore user experience design principles for AI in healthcare, focusing on trust and user-centric solutions. 

6. Understand the processes for evaluating, validating, and deploying AI solutions from research to practical healthcare applications 

Nomination deadline for partners: 1 July 2025

Application deadline for students: 15 August 2025 

• Physical mobility can be supported by an Erasmus+ scholarship provided by your home university. Please contact the International Office of your home university for more information. 
• Welcome lunch, networking breakfast, day trip, bowling night, etc. are provided by Deggendorf Insitute of Technology. Travel costs including accommodation are to be covered by the participants.
• No fees for the BIP will be charged. 

Physical part in Pfarrkirchen (sample, subject to change)

• University of Agder (UiA, Norway)
• Luleå Technical University (LTU, Sweden) 
• Czech Technical University (CTU, Czechia)