Date, time: 28th Oct. 2020, 10:00-16:00.
Location: Thon Hotell Arena, Lillestrøm.
Streaming: Information following registration.
Register: Follow this link to register for free.
Digital streaming will be used to ensure safety at the event. Further, physical attendance will be limited to a smaller number of people. Note that there may be changes in the program due to the COVID-19 situation: keep tabs on this page!
Program. The main theme in the program will be the development in machine learning applied to text, the opportunities it provides for analysis of medical text in Norway, which again are linked to the needs of clinicians for such tools and relevant ethical and legal issues. Following is the full program, most of which will be in Norwegian. Scroll down to the bottom of the page for a PDF-file (in Norwegian).
- 09.00 – 10.00 Registrering og kaffe
- 10.00 - 10.30 Velkommen og introduksjonsforedrag
(Lars-Åge Møgster, Avdelingsleder, AHUS)
(Fredrik A. Dahl, Seniorforsker, AHUS)
- 10-30 - 11.15 Status report for Norwegian NLP: what do we have and what do we need
(Lilja Øvrelid, Professor, Informatics / University of Oslo
- 11.15 - 12.00 Context-dependent: how modern pre-trained language models
(Andrey Kutuzov, Doctoral Research Fellow, Informatics / University of Oslo)
- 12.00 - 12.45 Lunsj
- 12.45 - 13.30 Utvalgte juridiske problemstillinger
(Randi Borgen, Legal Director, Oslo university Hospital, & colleagues)
- 13.30 - 14.00 De-identification of clinical text for machine learning purposes
(Hercules Dalianis, Professor, NSe-H, Tromsø)
- 14.00 - 14.15 Coffee
- 14.15 - 15.00 Kan AI bedre adekvat diagnostikk og behandling av hjertesviktpasienter?
(Henrik Schirmer, Professor, Akershus University Hospital)
- 15.00 - 15.45 Jakten på klinisk nytte
(Petter Hurlen, Dr. Med., Akershus University Hospital)
- 15.45 - 16.00 Summary
(Lars-Åge Møgster, Head of Department, Akershus University Hospital)
(Fredrik A. Dahl, Senior Researcher, Akershus University Hospital)
Registration. Follow this link to register via the page Events. Enter your name (digital or physical) to let us know how you would like to attend the seminar. Questions about registration? Contact Mari Eide Frey, Project Coordinator, BigMed.
Infection control. We follow the health authorities' advice and have good routines for infection control. Hereunder, the precautionary principle to prevent the spread of COVID-19. We kindly ask you who have symptoms to not attend the event in person. In addition, we encourage everyone to avoid handshakes, adhere to social distancing and effective hand hygiene practices.
Please, reach out to the contacts listed below if you have any further questions.