AI Lund

An open network for research, education and innovation in the area of Artificial Intelligence at Lund University

Denna sida på svenska This page in English

AI Lund Events

Artificial intelligence / machine learning in Lund (@AIML) - Theme day Medicine


From: 2018-10-12 09:45 to 15:30
Place: Lund University, Segerfalk-salen (BMC A10)
Contact: einar [dot] heiberg [at] med [dot] lu [dot] se
Save event to your calendar


  • Inventory and information about on ongoing or planned projects in artificial intelligence and machine learning in medicine.
  • Day to make connections and exchange experiences. Examples on common challenges are specific for the medicine are 1) large scale image management, 2) extract images from PACS system, 3) privacy and GDPR, 4) Computational capacity inside hospital firewall.

WHEN:  October 12th 2018 –  from fika to fika.

WHERE: Segerfalk-salen (BMC A10).

WHO: Open to all interested in AI/ML in medicine at Lund University and Region of Scania. Companies are welcome to listen in, however the intention is that they will be invited for active participation in future meetings.

LANGUAGE: From demand changed to English

REGISTRATION: (until further in Swedish)


The program is formed from a fika to fika concept to ensure ample opportunities for interaction. Before lunch is intended for a wider audience and more overview, and after lunch are focused more on practical challenges, hands on, and taking next steps. 

09:45-10:15: Fika and informal discussions

10:15-10:30: Introduction remark / current funding opportunities + Why AI/ML will not replace radiologists, strength and weaknesses of the human brain. What should we use AI/ML for in medicine? (Einar Heiberg)

10:30-12.15: Slots for project presentations ongoing or under startup

  • Development of PET-CT image biomarkers (Elin Trägårdh)
  • AI in breast cancer – detection and prognosis (Victor Dahlbom)
  • ANN for prediction of lymph nodes metastases in primary breast cancer (Looket Dihge)
  • Left ventricle segmentation – initial results and next steps? (Christos Xanthis)
  • Digital pathology for optimized Gleason Score in Prostate Cancer (Agnieszka Krzyzanowska)
  • Unsupervised clustering on PET data in Alzheimer disease (Theodor Rumetshofer)
  • Reliable variation (mutation) interpretation (Mauno Vihinen)

12:15-13:15: Mingle lunch

13:15-14:30: Slots for: “These are our challenges”, “This is how we solved this”, “demonstration”

  • Management of large scale image data (Helen Fransson, AIDA project)
  • Image processing and computational cluster for the BioFinder study (Olof Strandberg)
  • Hands-on example on machine learning (Johan Nilsson

14:30-15:00: Next step – panel discussion

15:00- Fika and closing informal discussion

REGISTRATION: (until further in Swedish)

Registration for project presentations for slots before or after lunch are done in the registration form.
Are you uncertain if a topic fit or not, call or email Einar at 076-183 64 42, or einar [at] heiberg [dot] se. Suggestions on other lecturers are greatly appreciated.