From code to clinic: Translating AI into medical practice
ICE Congress Centre
Kraków, Poland + online
Artificial Intelligence in Medicine began in 2025 as a one-day meeting for health professionals and developers exploring the integration of AI into health care. It was first organized during the 10th McMaster International Review Conference in Internal Medicine (MIRCIM), an annual event held in Kraków, Poland since 2015, and more recently also online.
The initiative was developed by McMaster University’s Department of Medicine, the Polish Institute for Evidence Based Medicine (PIEBM), Oxford Big Data Institute, and Interdisciplinary Health Data Center of the Jagiellonian University Medical College.
Today, the conference has grown into a 3-day event featuring renowned international AI experts and health professionals who share real-life experience in implementing AI in different settings.
We have selected 2 excellent lectures as a sample of what you can expect:
- Prof. Alejandro F. Frangi, University of Manchester, UK: Primum non nocere, secundum simulare! Ethical imperative of in silico evidence in the digital era
- Prof. Alex Novak, Oxford Clinical Artificial Intelligence Research, Oxford University Hospitals NHS Foundation Trust, UK: From concept to clinic: Bridging the healthcare AI innovation gap – observations from the OxCAIR Research group
Click the button to play the selected video.
ICE Congress Centre
Kraków, Poland
Business and cultural flagship of the city located in the very heart of Kraków
Pre-program offer
Only 200 euro for 3 days of the conference!
A win-win offer with a generous return policy
Take advantage of the discounts available and register today. If later on you would like to cancel your registration, we will refund up to 100% of your payment.
Refund policy:
1 September 2025 – 31 December 2025: 100%
1 January – 31 March 2026: 50%
1 April – 6 May 2026: no refund
Program
Will be published soon.
Check the program from the previous edition
From data to bedside: Using big data to develop AI tools for medicine
Chairs: Prof. Bartłomiej W. Papież (UK), Prof. Dan Perri (Canada)
Introduction
Prof. Bartłomiej W. Papież (Big Data Institute, University of Oxford, UK)
Will the European Health Data Space (EHDS) contribute to the AI revolution?
Dr. Andrzej Ryś (former Director for Health Systems, Medical Products and Innovation, DG SANTE, European Commission, Belgium; EHDS Co-creator)
Clinical AI: Curiosity, or cure?
Dr. Mikael Brudfors (Senior Solution Architect, NVIDIA, UK)
AI to reduce bureaucracy in medicine
Tomasz Kopacz (Healthcare Technology Strategist at Microsoft, Poland)
AI in cardiothoracic imaging: Ready for clinical implementation?
Prof. Rozemarijn Vliegenthart (University Medical Center Groningen, the Netherlands)
Pig in a poke? Unpacking the promise and pitfalls of foundation models in health care
Prof. Bartłomiej W. Papież (Big Data Institute, University of Oxford, UK)
From concept to clinic: Bridging the healthcare AI innovation gap – observations from the OxCAIR Research group
Prof. Alex Novak (Oxford Clinical Artificial Intelligence Research, Oxford University Hospitals NHS Foundation Trust, UK)
Questions & Answers
Humans and AI view on healthcare: For users of AI tools
Chairs: Prof. Bartłomiej W. Papież (UK), Prof. Dan Perri (Canada)
Regulatory ecosystem for the AI-enabled medical devices: A brief summary for clinicians
Prof. Piotr Szymański (Chairman, Regulatory Affairs Committee of the European Society of Cardiology, National Medical Institute of the Ministry of the Interior and Administration, Poland)
Primum non nocere, secundum simulare! The ethical imperative of in silico evidence in the digital era
Prof. Alejandro F. Frangi (University of Manchester, UK)
Friend or foe? Navigating human-AI interactions in clinical practice
Prof. Bartłomiej W. Papież (Big Data Institute, Oxford University, UK)
Front-line experience in evaluating and translating AI tools into hospitals
Prof. Alex Novak (Oxford Clinical Artificial Intelligence Research, Oxford University Hospitals NHS Foundation Trust, UK)
Challenges with integrating AI into clinical workflows
Prof. Dan Perri (McMaster University, Canada)
Integration of AI in medical education
Prof. Sameer Shaikh (McMaster University, Canada)
Questions & Answers
If you need any further assistance...
...talk directly to Marta, our Conference Manager!
Marta Pasiut
registration@piebm.org
+ 48 663 430 239 (mobile and WhatsApp)
Working hours
Mon 12-18 | Tue 9-17 | Wed 12-18 | Thu 9-17 | Fri 9-17
Central European Summer Time / UTC+2
Polish Institute for Evidence Based Medicine
Gazowa 14A | 31-060 Kraków, Poland
contact@piebm.org | www.piebm.org