- Date
- 16 October 2026
- Start
- 9:00
- Venue
- Medical University of Silesia, Katowice
Opening Forum opening9:00–9:10Prof. Tomasz Francuz, MD, PhD Dean of the Faculty of Medical Sciences in Katowice, Medical University of Silesia Session 1 From idea to implementation. How to deploy AI in healthcare?9:10–10:004 × 10 min + 10 min discussion Przemysław Czuma Orthopaedic and trauma surgeon, MBA; PSSiM Artificial intelligence as a tool for making tools Agata Wijata, PhD Department of Medical Informatics and Artificial Intelligence, Faculty of Biomedical Engineering, Silesian University of Technology; Zabrze Marzena Krawiec Digital transformation leader in healthcare; Katowice AI innovation in the organisation. Do clinicians and managers speak different languages about the same thing? AI deployments seen from the perspective of a hospital manager, and the language gap between clinicians and managers. Roman Bieda Attorney-at-law and patent attorney, lecturer at Kozminski University; Warsaw How to train AI under a lawyer's watchful eye? Selecting training data under Article 10 of the AI Act, its impact on model bias, and the legal consequences.
Session 2 AI in theory and practice, part 110:00–10:453 × 10–15 min + 10 min discussion Lee Hwee Kuan, PhD Senior Principal Scientist, Bioinformatics Institute, A*STAR; Singapore (15 min) Daniel Ledwoń, PhD Faculty of Biomedical Engineering, Silesian University of Technology; Zabrze Towards Personalised Treatment of Retinal Diseases through AI-enabled Comprehensive Patient Assessment Andrzej Michnik, PhD Electronics engineer, Łukasiewicz Research Network — Krakow Institute of Technology; Rybnik How to talk to a small Bielik (a Polish LLM)? A small local generative model for Polish: the trade-off between responsiveness and answer quality.
Coffee break · 10:45–11:10 Session 3 AI in theory and practice, part 211:10–12:054 × 10–15 min + 10 min discussion Murat Bilici Surgeon and data scientist; Basel, Switzerland Teaching Machines to Read PubMed — All of It OKF (Open Knowledge Format) — an open knowledge format as the successor to classic RAG. Daria Hemmerling, PhD Department of Measurement and Electronics, AGH University of Krakow (15 min) Mikołaj Basza, MD Physician, new technologies expert at the Silesian Medical Chamber; Katowice AI on call: practical applications in cardiology Marek Trojanowicz Chief Product Officer, BrainScan; Gdańsk From breakthrough invention to painstaking deployment. Why not all that glitters is AI? How hard the road from a good solution to real-world deployment is, and why the best inventions do not always win.
Panel Artificial intelligence in education. How will AI change the face of universities?12:05–12:45Coffee break · 12:45–13:10 PSSiM session Contributions from association members13:10–14:004 × 10 min + 10 min discussion Marcin Szeliga Data scientist and machine learning trainer; Katowice How AI understands medical knowledge: from meaning to clinical decision support Embeddings, vector search and RAG, illustrated by a decision support system for orthopaedic implant infections. Rafał Siedlarz President of the AKCJA PROFILAKTYKA Association; radiographer Can AI save lives and patch the healthcare budget? Prioritisation strategy as the key to efficiency AI triage in diagnostic imaging: managing the patient queue and escalating critical findings. Kamil Więcek, Ania Adamiak OpenEHDS Foundation; Warsaw and Łódź EHDS in practice — from regulation to real-world uses of health data and AI Interoperability (FHIR), secondary use of data, proof-of-concept examples. Ireneusz Szott Hearing care professional, MEDINCUS Hearing and Speech Centre; Krakow Artificial intelligence in hearing tests — automating ABR and PTA analysis A tool supporting the interpretation of ABR tests and pure-tone audiometry.
Break · 14:00–14:10 Oxford-style debate · 14:10–14:55 Artificial intelligence in medicine. Better a fallible human at work, or an infallible machine that takes that work away?The decision we make today will shape the future. For the purposes of this debate we assume there is no point in fooling ourselves: if we let artificial intelligence develop without limits, it will ultimately surpass us in every respect — it will take people's jobs and replace them in medicine too. Only halting that development gives humans, doctors included, a chance of still being needed in the future. No half-measures are on the table — the "human together with AI" option is out. Either a working human or an all-knowing machine. Which side are you on? Closing Forum closing14:55–15:05Coffee breaks during the forum. |