ITsAmsterdam: Ensuring Patient Safety during Gall Bladder Removal Surgery

[#1]

Final result 3m video Final result: 10 minute video ITsAmsterdam

Team Name	ITsAmsterdam
Track	Healthcare
Use Case	Ensuring Patient Safety during a Laparoscopic Cholecystectomy using Deep Learning
Technology	Convoluational Neural Network, Image processing
Region	EMEA
Team lead	Bert Kiewiet
Team members	Alexander Gruter, Bo Klaasse, Timur Durmaz, Ischa van der Molen, Mario Kornuijt, Andre Keizer

Laparoscopic Cholecystectomy (Gallbladder removal, also abbreviated as LapChol) is a surgical procedure done frequently by surgeons all over the world. During the procedure, the surgeons need to gain a clear view of the different structures involved in removing a gallbladder. This view is called the ‘Critical View of Safety’ (CVS). The quality of the view is scored by using the Strasberg criteria. These criteria are widely used in clinical practice

Surgeons in training are coached and rated by qualified surgeons which look at videos in which the surgery is performed. One part of the rating is done by looking at the quality of the CVS. Rating a complete procedure based on a video is a very time-consuming and expensive process.

Our team's objective is to aid in the assessment of videos to determine the quality of the CVS. One very important step in this process is to determine the time when the CVS is best assessable:

First Goal Hackathon:

Develop a computer vision model to automatically find the correct time in a video to assess the Critical View of Safety (CVS).

[Poekio]

Updated with 10m final video

[UH]

Great work everybody involverad!
Looking forward to see and listen to your film.
Your case seems to have great potentials.
All the best!
Coach Health Track - Ulf Hertin

[janehowell]

This has the potential to help alot of people!  Nice job!

[BillRIoT]

Impressive project and like you indicated in your video, it appears there are a lot of places you can go with this capability.   My friend @MAWolff has always told me that AI, IoT, and other disruptive capabilities will have a real impact on healthcare, improving outcomes as they provide data driven insights to providers.  I look forward to seeing how this plays out.  

[Alyssa_Farrell]

Well done, team ITSAmsterdam. @Poekio , you mentioned wanting to continue the collaboration. Have you considered this European hackathon with SAS and MSFT that launches later this month? https://ai-for-healthcare-hackathon.com/ 

[Poekio]

Hi @Alyssa_Farrell,

Thank you for bringing this to our attention. It looks like a very good opportunity to further develop our product.

I'll discuss this with my team and hopefully we'll be able to participate