- 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?9:10–10:054 talks (10–15 min) + 10 min discussion Chairs:Prof. Zbigniew Nawrat (Foundation for Cardiac Surgery Development and Medical University of Silesia; Zabrze) · Marcin Leśniewski, MD, PhD (Medical University of Silesia) Przemysław Czuma Orthopaedic and trauma surgeon, MBA; PSSiM 15 min 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 10 min The "black box" in clinical practice – how to build explainable AI models we can trust? Marzena Krawiec Digital transformation leader in healthcare; Katowice 10 min 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 10 min 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.
Short break · 10:05–10:15 Session 2 AI in theory and practice, part 110:15–11:003 talks (10–15 min) + 10 min discussion Chairs:Prof. Tomasz Francuz (Dean of the Faculty of Medical Sciences in Katowice, Medical University of Silesia) · Marzena Krawiec (Digital transformation leader in healthcare; Katowice) Prof. Lee Hwee Kuan Senior Principal Scientist, Bioinformatics Institute, A*STAR; Singapore 15 min Daniel Ledwoń, PhD Faculty of Biomedical Engineering, Silesian University of Technology; Zabrze 10 min Towards Personalised Treatment of Retinal Diseases through AI-enabled Comprehensive Patient Assessment Andrzej Michnik, PhD Electronics engineer, Łukasiewicz Research Network — Krakow Institute of Technology; Zabrze 10 min 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 · 11:00–11:20 Session 3 AI in theory and practice, part 211:20–12:053 talks (10–15 min) + 10 min discussion Chairs:Prof. Marcin Basiaga (Dean of the Faculty of Biomedical Engineering, Silesian University of Technology; Zabrze) · Tomasz Jaworski (Director of the Commercial Projects Management Department, Medical Research Agency (ABM); Warsaw) Murat Bilici Surgeon and data scientist; Basel, Switzerland 10 min 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 Beyond Wearables: From Everyday Data to Clinically Meaningful Cardiovascular Phenotypes Mikołaj Basza, MD Physician, new technologies expert at the Silesian Medical Chamber; Katowice 10 min AI on call: practical applications in cardiology
Panel Artificial intelligence in education. How will AI change the face of universities?12:05–12:45Prof. Marcin Basiaga Dean of the Faculty of Biomedical Engineering, Silesian University of Technology; Zabrze Prof. Tomasz Francuz Dean of the Faculty of Medical Sciences in Katowice, Medical University of Silesia Joanna Mercik, PhD Institute of History, University of Silesia in Katowice; leader of the GRAI section at the Ministry of Digital Affairs Agata Wijata, PhD Department of Medical Informatics and Artificial Intelligence, Faculty of Biomedical Engineering, Silesian University of Technology; Zabrze Prof. Zbigniew Nawrat Foundation for Cardiac Surgery Development and Medical University of Silesia; Zabrze Moderator Bartosz Ziółko, DSc, Prof. AGH AGH University of Krakow
Coffee break with snacks · 12:45–13:10 Session 4 AI in theory and practice, part 313:10–13:503 × 10 min + 10 min discussion Chairs:Przemysław Czuma (Orthopaedic and trauma surgeon, MBA; PSSiM) · Prof. Wojciech Wolański (Department of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology; Zabrze) Marek Trojanowicz Senior Consultant, IDEAS Research Institute & Co-Founder, BrainScan.ai 10 min 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. Elżbieta Maria Piątkowska, PhD Senior Venture Architect 10 min MDR, the AI Act and innovation: a practical guide to certification in medtech Przemysław Jędrusik Head of the Centre for Distance Learning and Educational Outcomes Analysis, Medical University of Silesia; Katowice 10 min Intelligent decentralisation: client-side LLMs and swarms of digital agents
Break · 13:50–14:00 PSSiM session Contributions from association members14:00–14:504 × 10 min + 10 min discussion Chairs:Bartosz Ziółko, DSc, Prof. AGH (AGH University of Krakow) · Joanna Mercik, PhD (Institute of History, University of Silesia in Katowice; leader of the GRAI section at the Ministry of Digital Affairs) Marcin Szeliga Data scientist and machine learning trainer; Katowice 10 min 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 10 min 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 10 min 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, PSSiM, Krakow 10 min AI solutions in hearing diagnostics
Oxford-style debate · 14:50–15:35 An infallible machine should replace the fallible humanThe 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? Debate marshalMarcin Leśniewski, MD, PhD DebatersProf. Zbigniew Nawrat · Marzena Krawiec · Marcin Szeliga · Rafał Siedlarz and students Closing Forum closing15:35–15:45Coffee breaks with snacks during the forum. |