Machine learning and personal health data in medical software development
Artificial intelligence is increasingly involved in medical software products. What are the challenges of this trend to agile software production? How development methods and processes should evolve to enable use of machine learning and personal data in regulated medical software?
These and related topics will be addressed in the open AHMED project seminar. You are warmly welcome to participate the seminar, which presents the results obtained in the AHMED project and provides an open forum for discussion and networking.
Program
12:30-13:00 Arrival – Obtain your batch from reception
13:00-13:05 Opening – Jaakko Lähteenmäki, VTT
13:05-13:25 Medical Software in Transition 2020-2022: MDR, AI & CI/CD – Tommi Mikkonen, University of Helsinki / University of Jyväskylä Presentation Slides
13:25-13:40 MDR approved analysis service, aspects of operations & business, Case Bittium – Tuulia Nissinen & Antti Siipola, Bittium Presentation Slides
13:40-13:55 MDR from private health care service provider perspective – Jani Hopia, Terveystalo Presentation Slides
13:55-14:10 ML/AI compliance – Tuomas Granlund, Solita Presentation Slides
14:10-14:40 Coffee Break & Networking
14:40-14:55 Introducing Design Controls as a Service – Pasi Ahola, Taipuva Consulting Presentation Slides
14:55-15:10 Software as a Medical Device -The IVDR Challenges – Timo Pellinen, Mylab Presentation Slides
15:10-15:25 Secondary use of health data in Kanta for research – Klaus Förger, Atostek Presentation Slides
15:25-15:40 Regulatory challenges in healthcare innovation development – Jaakko Lähteenmäki, VTT Presentation Slides
15:40-16:00 Discussion and seminar closure
16:00-17:00 Networking over some eats & drinks
Design Controls as a Service
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