- Teknologia ja innovaatiot
- Terveys ja hyvinvointi
Auditorio1, M-rakennus, 2. kerros, KYS sekä verkossa
- Lisää kalenteriin:
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.
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.
13.47–14.02 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 firstname.lastname@example.org.
For more information on practical arrangements, please contact Training Specialist Kati Haaraoja, email email@example.com.