Morning Briefing: The role of deep learning, cloud computing and machine learning in saving the lives of trauma patients

Morning Briefing: The role of deep learning, cloud computing and machine learning in saving the lives of trauma patients
How Deep Learning and cloud computing is saving lives. - Innovative and development when AI is the core of the business.
This free webinar will provide a valuable insight into how StatuManu ICP have used advancements within deep learning to create Vesseltrack: a cost effective and non-invasive method of measuring Intracranial Pressure. Through a combination of complex deep learning algorithms, precise and advanced optics, image technology and proprietary artificial intelligence, the innovative Vesseltrack technology measures and monitors the changes in the Intracranial Pressure in patients with abnormal and traumatic brain conditions.

During the webinar StatuManu ICP will give you insight into: 

• Why Machine Learning is incremental to their business

• How StatuManus solutions relies on Cloud Computing

• How the development within Deep Learning has impacted StatuManu’s development

• How they use data management: Data from their clinical evidence is crucial for the product reaching maturity

• Picture analysis through Deep Learning: Analysis of images of the fundus of a patient is the core of our product.


This webinar is arranged by IDAs Peer Group – ‘Machine Learning’
‘Machine Learning’ is a confidential peer group specifically catered to people who work with developing and analyzing machine learning solutions. The group consists of up to 15 data-analysts and Machine Learning engineers who complement each other in terms of job, education and experience. All meetings are facilitated by IDAs professional peer group facilitator. 


Registration procedure for the webinar:
Once you have registered you will receive a confirmation e-mail. At the bottom of this mail you will find a link to the webinar. You log in through this link and are forwarded to the site where the webinar is shown.

Should you have any problems logging in, you are welcome to contact us at: webinarsupport@ida.dk

Also check out our FAQ site where you can get answers to the most frequently asked questions in connection with webinars: FAQ about IDA webinars

Privacy info: If you would like to participate anonymously, we recommend you join by browser instead of using the Zoom software client or app, and when Zoom asks you to provide your name you can enter "Anon" or another pseudonym. Zoom processes personal information in global datacenters including USA and processing is carried out according to EU Commission standard data protection clauses. For further details, we refer you to the Zoom privacy policy available here: https://zoom.us/privacy

It is not allowed to share the zoom link or the video link with others, or to record audio and images of the webinar.

Organizer: The Danish Society of Engineers, IDA

Sign up: Not a member? In order to sign up, you must create a user profile. Note, when creating a user profile, you will be able to access IDA's online services - you will not become a member of IDA.

Important information regarding personal data on participant lists
Your name, title and company will appear on the attendance list for this event. The participant list is available to the organizer and the other participants on the event itself, in the form of a physical participant list and online attendance list. In addition, at some events, name tags are provided, where your name, title and company appear. If you unsubscribe from the event, your information will not appear in the attendance list.
When you are registered as a participant at this webinar, you will also automatically receive info about the next webinar within the same subject area.


Information
  • When

    22. apr. 2021 08:30 - 09:30
  • Where

    Webinar - In front of your pc/tablet/phone

  • Registration Deadline

    21. apr. 2021 - 23:59

  • Organizer

    Sundhedsteknologisk Gruppe, IDA Nord

  • Available Seats

    425

  • Event Number

    339907