AI in Medicine - from digital pathology to newborn survival

Talk by Kjersti Engan , professor at the University of Stavenger

AI in Medicine - from digital pathology to newborn survival

This talk explores some of the progress of AI applications in medicine, focusing on two areas where we have ongoing research at BMDLab, UiS:  digital pathology and newborn survival.

Digital pathology has changed the field of diagnostic pathology by enabling the digitization of histopathological images into Whole Slide Images (WSI).   AI algorithms, combined with image processing, have demonstrated promising capabilities in segmentation of cancerous regions, visualisation and diagnostic and prognostic predictions from WSI.  In this talk we will look at some AI approaches and results from urinary bladder cancer and Melanoma (skin cancer) predictions.

Globally 2 million newborn dies every year within the first 24 hours of life, and birth asphyxia is the main reason.  

Evidence based research on newborn resuscitation procedures are highly sought for.  In this talk we will look at which data we can collect and how AI and machine learning can be useful.  Particularly we will look at AI based activity recognition from video during birth and resuscitation.   


When: 08.12.23 at 10.00–11.00
Where: teknologybygget auditorium 1.022
Location / Campus: Tromsø
Target group: Employees, Students, Guests
Contact: Benjamin Ricaud
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