​Are you curious about how artificial intelligence is applied in real-world healthcare?

​If you want to understand how machine learning works rather than just hearing about it this workshop is for you.

​During the session, we’ll explore a simple medical image segmentation task together. You’ll get a step-by-step walkthrough of how a machine learning model is trained, with no prior experience required. We’ll use a prepared Google Colab notebook, so you can easily follow along, run the code yourself, and experiment hands-on.

​The focus is on building intuition and gaining practical exposure: How does a model “learn”? What do medical datasets look like? And how can you start exploring this field on your own?

​What to expect:

​A short introduction to machine learning in healthcare, followed by a guided, hands-on exercise using a pre-built notebook where we’ll train a simple model together. There will also be time for questions, discussion, and exchange.

​Who is this for?

​This workshop is open to anyone interested in AI and healthcare. No background in programming, machine learning, or medicine is required the only thing you need is curiosity and a willingness to try something new.

​Who is leading the workshop?

​The workshop is led by Abdul Basit Banbhan, who holds both a Bachelor’s and Master’s degree in Artificial Intelligence from JKU.

​He completed a one-year research internship at the IAEA, where he worked on satellite imagery analysis related to nuclear facilities. Following this, he spent a year in the Netherlands working at ASML.

​During his Master’s studies, he focused on AI applications in the life sciences. He has several years of teaching assistant experience in life science courses and is currently lecturing at JKU. In addition to his academic work, he is active as an AI consultant, building AI agents for international companies.

​Join us, try it out yourself, and get a first glimpse of how you can work with AI in healthcare!