NLP in Health - What is Possible, Useful and Allowed?

This seminar includes 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.

Did you miss the seminar? We would like to give as many as possible a chance to watch the recording from the seminar! Click the link below to view the video. 


Recording: https://vimeo.com/injection/review/473940478/d8f5ea2dd5   

The program is adressed below! Scroll to the bottom of this page for the PDF.
  • 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, Informatikk / UiO)
    NB. in English!  
  • 11.15 - 12.00 
    Context-dependent: how modern pre-trained language models understand meaning
    (Andrey Kutuzov, Doctoral Research Fellow, Informatics / UiO)
    NB. in English!  
  • 12.00 - 12.45 
    Lunsj
  • 12.45 - 13.30 
    Utvalgte juridiske problemstillinger
    (Thomas Endre Lie, Advokat OUS)
    (Oda Bakken, Advokatfullmektig, OUS)
  • 13.30 - 14.00 
    Jakten på klinisk nytte
    (Petter Hurlen, Dr. Med., AHUS)  
  • 14.00 - 14.15 
    Kaffe
  • 14.15 - 15.00 
    Kan AI bedre adekvat diagnostikk og behandling av hjertesviktpasienter?
    (Henrik Schirmer, Professor, AHUS)
  • 15.00 - 15.45 
    Video: De-identification of clinical text for machine learning
    (Hercules Dalianis, Professor, NSe-H, Tromsø)
    NB. in English!
  • 15.45 - 16.00 
    Oppsummering
    (Lars-Åge Møgster, Avdelingsleder, AHUS)
    (Fredrik A. Dahl, Seniorforsker, AHUS)


Recording. Press HERE to view video from the seminar. 

Questions? 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 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. Hand sanitizers and masks will be available.

Please, reach out to the contacts listed below if you have any further questions.

Status:

Finished

Partners:

Akershus University Hospital, University of Oslo

Topics

Machine Learning/AI,

Legal,

Data analytics,

Digital tools

Fredrik Dahl

Senior Researcher

Akershus University Hospital

Send email

Lilja Øvrelid

Professor, Language Technology Group Section for Machine Learning,

Dept. of Informatics at the University of Oslo

+47 467 82 458

Send email

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Join the seminar to learn about 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.