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Artificial Intelligence Symposium

  • Symposium
  • Technology and innovations
  • Health and well-being
Event date:
Event location:
Auditorium1, M building, 2nd floor, Kuopio University Hospital and online
Additional information:
Puijonlaaksontie 2
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Artificial Intelligence Symposium is organised by the Kuopio University Hospital and the University of Eastern Finland. It is open to anyone interested in possibilities of artificial intelligence in medicine.

Objectives: Enhance understanding of possibilities related to use of artificial intelligence for medical applications and create networking possibilities.

The attendance is free of charge – Welcome! The language of the symposium is English and it will be recorded. Registration on 8 October at the latest. The link to participation via Teams will be sent 11.10. to all attending online. Please note there is a limited amount of parking space in the parking hall.

Programme (pdf)

12.00–12.02 Opening and welcome, Director of Research and Innovation, Professor Juha Töyräs


12.02–12.27 Professor Pekka Toivanen: How do deep-learning neural networks work and what is their potential in clinical medicine and what are the key pitfalls?

12.28–12.43 Project Coordinator Antti Väänänen: Artificial Intelligence (AI) solutions in healthcare.

12.44–12.59 Postdoctoral Researcher, Junior Medical Physicist Henri Korkalainen: Deep learning solutions for sleep medicine.

13.00–13.15 Professor Jussi Tohka: Artificial intelligence for diagnosis and prognosis of brain diseases.

13.16–13.31 Q&A and discussion, Professor Juha Töyräs.

13.32–13.47 Coffee 


13.47–14.02 Medical Physicist, Clinical Researcher Sami Väänänen: Artificial intelligence to support diagnostics of osteoporosis and fracture risk prediction.

14.03–14.18 Deputy Chief Physician Helena Jäntti: From science to product – how AI was commercialized for healthcare and consumers?

14.19–14.34 Associate Professor Roman Bednarik: Application of deep learning neural networks for assessment of microsurgical performance.

14.35–14.50 Professor Arto Mannermaa: Machine learning techniques improve identification of interacting components of cancer risk and patient outcome.

14.51–15.06 Project Manager Keijo Haataja: Intelligent cancer diagnostics with different calculation methods.

15.07–15.30 Q&A and discussion, Professor Juha Töyräs.

For further information on the content, please contact Director of Research and Innovation, Professor Juha Töyräs, email

For more information on practical arrangements, please contact Training Specialist Kati Haaraoja, email